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PaperBased Papers List (unfiltered)
Logical Genetics » Research » Paperbased
This list of papers can be sorted in various ways to help you find what you're looking for. Controls are at the bottom of the page.
132 papers match your search query
| Ref Code | Title | Authors | Categories | Date |
|---|---|---|---|---|
| (Stibor et al, 05) |
A Comparative Study of Real-Valued Negative Selection to Statistical Anomaly Detection Techniques Article: International Conference on Artificial Immune Systems (ICARIS), LNCS Vol. 3627, pp. 262-275 Springer |
Stibor, Thomas Timmis, Jon Eckert, C |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Time Series Prediction Visualisation |
2005 |
| (Secker et al, 03) |
A Danger Theory Approach to Web Mining Conference Paper: ICARIS 2003, Proceedings Springer |
Secker, Andrew Freitas, Alex A Timmis, Jon |
AIS Data Mining |
Sep 2003 |
| (Balachandran et al, 06) |
A General Framework for Evolving Multi-Shaped Detectors in Negative Selection Article: NOT YET PUBLISHED! |
Balachandran, Sankalp Dasgupta, Dipankar Nino, Fernando Garrett, Deon |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Time Series Prediction Visualisation |
Jan 2006 |
| (Blanco et al, 00) |
A genetic algorithm to obtain the optimal recurrent neural network Collection Part: International Journal of Approximate Reasoning Elsevier |
Blanco, A Delgado, M Pegalajar, M C |
ANNs EAs |
2000 |
| (Knight and Timmis, 02) |
A Multi-Layered Immune Approach to Data Mining Conference Paper: 4th International Conference on Recent Advances in Soft Computing, Proceedings |
Knight, Thomas Timmis, Jon |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction Visualisation |
Dec 2002 |
| (Chen and Ware, 99) |
A neural network model for forecasting fish stock recruitment Collection Part: Canadian Journal of Fisheries and Aquatic Sciences, Vol. 56 No. 12 pp. 2385-2396 NRC (Canada) Press |
Chen, D G Ware, D M |
ANNs Visualisation |
1999 |
| (Yao and Liu, 95) |
A New Evolutionary System For Evolving Artificial Neural Networks Collection Part: IEEE Transactions on Neural Networks, Vol. 8 No. 3 pp. 694-713 IEEE Press |
Yao, Xin Liu, Yong |
ANNs EAs |
1995 |
| (Antonisse, 89) |
A new interpretation of schema notation that overturns the binary encoding constraint Conference Paper: Third international conference on genetic algorithms, 1989 Morgan Kaufmann Publishers |
Antonisse, Jim |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Time Series Prediction Visualisation |
1989 |
| (Liu and Yao, 96) |
A Population-Based Learning Algorithm Which Learns Both Architectures and Weights of Neural Networks Article: Chinese Journal of Advanced Software Research, Vol. 3 No. 1 pp. 54-65 |
Liu, Yong Yao, Xin |
ANNs EAs |
1996 |
| (Blanco et al, 01) |
A real-coded genetic algorithm for training recurrent neural networks Collection Part: IEEE Transactions on Neural Networks, Vol. 14 No. 1 pp. 93-105 IEEE Press |
Blanco, A Delgado, M Pegalajar, M C |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction Visualisation |
2001 |
| (Yao, 97) |
A Review of Evolutionary Artificial Neural Networks Article: International Journal of Intelligent Systems |
Yao, Xin |
ANNs EAs |
1997 |
| (Freitas, 02) |
A Survey of Evolutionary Algorithms for Data Mining and Knowledge Discovery Collection Part: Advances In Evolutionary Computation Springer |
Freitas, Alex A |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction Visualisation |
2002 |
| (Dasgupta, 06) |
Advances in Artificial Immune Systems Collection Part: IEEE Computational Intelligence Magazine, November 2006, Vol. 1 No. 4, pp. 40-49 IEEE Press |
Dasgupta, Dipankar |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Time Series Prediction Visualisation |
Nov 2006 |
| (Secker et al, 03) |
AISEC: an Artificial Immune System for E-mail Classification Conference Paper: CEC 2003, Proceedings IEEE Press |
Secker, Andrew Freitas, Alex A Timmis, Jon |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction Visualisation |
Dec 2003 |
| (Timmis, 01) |
aiVIS - Artificial Immune Network Visualisation Conference Paper: EuroGraphics UK 2001 Conference Proceedings |
Timmis, Jon |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction Visualisation |
Apr 2001 |
| (Greensmith and Cayzer, 03) |
An Artificial Immune System Approach to Semantic Document Classification Conference Paper: ICARIS 2003, Proceedings Springer |
Greensmith, Julie Cayzer, Steve |
AIS |
Sep 2003 |
| (Ozesmi and Ozesmi, 99) |
An artificial neural network approach to spatial habitat modelling with interspecific interaction Collection Part: Ecological Modelling, Vol.116 No. 1 pp. 15-31 Elsevier |
Ozesmi, S L Ozesmi, U |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction Visualisation |
Mar 1999 |
| (Angeline et al, 94) |
An Evolutionary Algorithm that Constructs Recurrent Neural Networks Collection Part: IEEE Transactions on Neural Networks, Vol. 5 No. 1 pp. 54-65 IEEE Press |
Angeline, Peter J Saunders, Gregory M Pollack, Jordan B |
ANNs EAs |
1994 |
| (Goodman et al, 03) |
An Investigation into the Source of Power for AIRS, an Artificial Immune Classification System Article: Proceedings of the International Joint Conference on Neural Networks (IJCNN'03) IEEE Press |
Goodman, Donald E Boggess, Lois Watkins, Andrew |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction Visualisation |
Jul 2003 |
| (Taylor et al, 03) |
An Investigation of the Negative Selection Algorithm for Fault Detection in Refrigeration Systems Conference Paper: ICARIS 2003, Proceedings Springer |
Taylor, Dan W Corne, David Adolphs, Ralph Hawkins, John Abraham, Ajith Boden, Mikael Ackley, Elena S Berry, M Esponda, Fernando Giles, C Lee Helman, Paul Elman, Jeffrey L Alvarez, Sergio A Connor, Jerome T Hegde, Shailesh U Blanco, A Angeline, Peter J Atlas, L E Agogino, Adrian Delgado, M Ghosh, Joydeep Hinton, G E Duch, Wlodzislaw Dimopoulos, Ioannis Chronopoulou-Sereli, A Garson, G. David Chronopoulos, J Burch, M D Dandy, G C Harding, Lawrence W Jackson, Donald A Goh, A T C Hornik, K Bourret, Paul Belaud, A Beer, Randall D Chen, D G Ash, T Gallagher, John C Hanson, Stephen José Frean, M Goudreau, M W Denker, John S Hassibi, Babak Chen, Hsing-Hen Azimi-Sadjadi, M R Herrera, F Goodman, R M Guyon, I Eshelman, L J Antonisse, Jim Howell, R H Fahlen, P Bondoc, M Axell, M Datta, D Edgington, Eugene S Davis, Lawrence Fogel, Lawrence J Fogel, David B Izadi-Zamanabadi, R Eckert, C Balachandran, Sankalp Andrews, P Ji, Zhou Harkness, Jack Garrett, Deon Hart, Emma Johnson, R.M.S. Abbass, H Butz, Martin V Garrett, Simon M Bagirov, A M Belew, Richard K Gordon, Diana F Ayara, Modupe Cholewo, Tomasz J Duncan, Ross De Jong, Kenneth A Dasgupta, Dipankar Forrest, Stephanie Gomez, Jonatan Freitas, Alex A de Castro, Leandro N Gonzalez, Fabio Efron, B de Lemos, Rogerio Cayzer, Steve Goodman, Donald E Greensmith, Julie Aickelin, Uwe Kaski, Kimmo Bradley, D W Boggess, Lois Craven, Mark W Giles, C Lee Bengio, Yoshua Husken, Michael Gallagher, Marcus Frasconi, Paolo Dorffner, Georg Downs, Tom Dailey, Matthew N Cottrell, Garrison W |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction Visualisation |
Sep 2003 |
| (Dasgupta et al, 99) |
An Overview of Artificial Immune Systems and Their Applications Collection Part: In Artificial Immune Systems and Their Applications, Springer, ISBN: 3540643907 Springer |
Dasgupta, Dipankar Hawkins, John Adolphs, Ralph Giles, C Lee Abraham, Ajith Boden, Mikael Ackley, Elena S Berry, M Esponda, Fernando Helman, Paul Elman, Jeffrey L Alvarez, Sergio A Hegde, Shailesh U Connor, Jerome T Blanco, A Angeline, Peter J Atlas, L E Ghosh, Joydeep Delgado, M Duch, Wlodzislaw Hinton, G E Agogino, Adrian Dimopoulos, Ioannis Chronopoulou-Sereli, A Chronopoulos, J Garson, G. David Goh, A T C Burch, M D Harding, Lawrence W Dandy, G C Jackson, Donald A Beer, Randall D Chen, D G Belaud, A Bourret, Paul Hornik, K Ash, T Chen, Hsing-Hen Gallagher, John C Frean, M Hanson, Stephen José Azimi-Sadjadi, M R Hassibi, Babak Eshelman, L J Goudreau, M W Denker, John S Goodman, R M Guyon, I Herrera, F Antonisse, Jim Corne, David Fahlen, P Datta, D Bondoc, M Howell, R H Axell, M Fogel, David B Edgington, Eugene S Davis, Lawrence Izadi-Zamanabadi, R Fogel, Lawrence J Eckert, C Balachandran, Sankalp Ji, Zhou Garrett, Deon Andrews, P Harkness, Jack Hart, Emma Belew, Richard K Butz, Martin V Johnson, R.M.S. Bagirov, A M Garrett, Simon M Abbass, H Ayara, Modupe Cholewo, Tomasz J De Jong, Kenneth A Knight, Thomas Gordon, Diana F Forrest, Stephanie Duncan, Ross Gonzalez, Fabio Greensmith, Julie Efron, B de Castro, Leandro N Freitas, Alex A de Lemos, Rogerio Gomez, Jonatan Goodman, Donald E Aickelin, Uwe Boggess, Lois Bradley, D W Dorffner, Georg Cayzer, Steve Kaski, Kimmo Husken, Michael Gallagher, Marcus Downs, Tom Frasconi, Paolo Bengio, Yoshua Giles, C Lee Craven, Mark W Dailey, Matthew N Cottrell, Garrison W |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction Visualisation |
Aug 1999 |
| (Dasgupta and Majumdar, 02) |
Anomaly Detection in Multidimensional Data Using Negative Selection Algorithm Conference Paper: Proceedings CEC 2002, Vol. 2, pp. 1039-1044 IEEE Press |
Dasgupta, Dipankar Majumdar, Nivedita Sumi |
AIS |
May 2002 |
| (Singh, 02) |
Anomaly Detection Using Negative Selection Based on the R-Contiguous Matching Rule Conference Paper: ICARIS 2002, Proceedings University of Kent at Canterbury Printing Unit |
Singh, Shantanu |
AIS |
Sep 2002 |
| (Gonzalez and Dasgupta, 03) |
Anomaly Detection Using Real-Valued Negative Selection Collection Part: Genetic Programming and Evolvable Machines, Vol. 4, No. 4, pp. 383-403 Springer |
Gonzalez, Fabio Dasgupta, Dipankar |
AIS |
Dec 2003 |
| (Ji and Dasgupta, 06) |
Applicability issues of the real-valued negative selection algorithms Conference Paper: Proceedings of the 8th annual conference on Genetic and evolutionary computation (GECCO), pp. 111-118 |
Ji, Zhou Dasgupta, Dipankar |
AIS |
2006 |
| (Hart and Timmis, 05) |
Application Areas of AIS: Past, Present and Future Conference Paper: International Conference on Artificial Immune Systems (ICARIS), LNCS Vol. 3627, pp. 483-497 Springer |
Hart, Emma Timmis, Jon |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Time Series Prediction Visualisation |
2005 |
| (Watkins and Timmis, 02) |
Artificial Immune Recognition System (AIRS): Revisions and Refinements Conference Paper: ICARIS 2002, Proceedings University of Kent at Canterbury Printing Unit |
Watkins, Andrew Timmis, Jon |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction Visualisation |
Sep 2002 |
| (Dasgupta et al, 03) |
Artificial immune system (AIS) research in the last five years Conference Paper: Proceedings of the 2003 Congress on Evolutionary Computation, (CEC '03) Vol. 1 pp. 123- 130 |
Dasgupta, Dipankar Ji, Zhou Gonzalez, Fabio |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Time Series Prediction Visualisation |
Dec 2003 |
| (de Castro and Timmis, 02) |
Artificial Immune Systems: A Novel Paradigm to Pattern Recognition Collection Part: Artificial Neural Networks in Pattern Recognition University of Paisley |
de Castro, Leandro N Timmis, Jon |
AIS Pattern Recognition |
2002 |
| (Abraham, 05) |
Artificial Neural Networks Collection Part: Handbook of Measuring System Design John Wiley and Sons Ltd |
Abraham, Ajith |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction Visualisation |
2005 |
| (Ji and Dasgupta, 04) |
Augmented negative selection algorithm with variable-coverage detectors Conference Paper: Proceedings of the 2004 Congress on Evolutionary Computation (CEC '04), Vol. 1, pp. 1081-1088 IEEE Press |
Ji, Zhou Dasgupta, Dipankar |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Time Series Prediction Visualisation |
Jun 2004 |
| (Goh, 95) |
Backpropagation Neural Networks for Modeling Complex Systems Collection Part: Artificial Intelligence in Engineering, Vol. 9 No. 3 pp. 143–151 Elsevier |
Goh, A T C |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction Visualisation |
1995 |
| (Efron, 79) |
Bootstrap Methods: Another Look at the Jackknife Article: The Annals of Statistics |
Efron, B |
Statistics |
1979 |
| (Solla, 92) |
Capacity control in classifiers for pattern recognition Conference Paper: Neural Networks for Signal Processing II, Proceedings of the 1992 IEEE-SP Workshop IEEE Press |
Solla, Sara A |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Time Series Prediction Visualisation |
Aug 1992 |
| (Pratt and Nicodemus, 94) |
Case Studies in the Use of a Hyperplane Animator for Neural Network Research Article: World Congress on Computational Intelligence (WCCI 1994) IEEE Press |
Pratt, Lori Nicodemus, Steve |
ANNs Visualisation |
1994 |
| (Axell and Fahlen, 02) |
Climatic influence on display cabinet performance Conference Paper: New technologies in commercial refrigeration, Urbana, IL, International Institute of Refrigeration Commissions B1 and D1 |
Axell, M Fahlen, P |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Time Series Prediction Visualisation |
2002 |
| (Schaffer et al, 92) |
Combinations of genetic algorithms and neural networks: A survey of the state of the art Conference Paper: COGANN-92 International Workshop on Combinations of Genetic Algorithms and Neural Networks IEEE Press |
Schaffer, J D Whitley, D Eshelman, L J |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Time Series Prediction Visualisation |
1992 |
| (Gonzalez et al, 02) |
Combining negative selection and classification techniques for anomaly detection Conference Paper: Proceedings of the 2002 Congress on Evolutionary Computation (CEC '02), pp. 705–710 IEEE Press |
Gonzalez, Fabio Dasgupta, Dipankar Kozma, R |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Time Series Prediction Visualisation |
2002 |
| (Giles et al, 95) |
Constructive learning of recurrent neural networks: limitations of recurrent cascade correlation and a simple solution Collection Part: IEEE Transactions on Neural Networks, Vol. 6 No. 4 pp. 829-836 IEEE Press |
Giles, C Lee Chen, D G Sun, Guo-Zheng Chen, Hsing-Hen Lee, Yee-Chung Goudreau, M W |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Time Series Prediction Visualisation |
Jul 1995 |
| (Datta and Tassou, 99) |
Defrost control of evaporator coils using artificial intelligence techniques Conference Paper: 20th International Conference on Refrigeration IIR/IIF |
Datta, D Tassou, S A |
ANNs Refrigeration |
1999 |
| (Miller et al, 89) |
Designing neural networks using genetic algorithms Conference Paper: Proceedings of the third international conference on Genetic algorithms Morgan Kaufmann Publishers |
Miller, Geoffrey F Todd, Peter M Hegde, Shailesh U |
ANNs EAs |
1989 |
| (Scardi and Harding, 99) |
Developing an empirical model of phytoplankton primary production: a neural network case study Collection Part: Ecological Modelling, Vol. 120 No. 2-3 pp. 213-223 Elsevier |
Scardi, Michele Harding, Lawrence W |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction Visualisation |
1999 |
| (Zeng et al, 94) |
Discrete recurrent neural networks for grammatical inference Collection Part: IEEE Transactions on Neural Networks, Vol. 5 No. 2 pp. 320-330 IEEE Press |
Zeng, Zheng Goodman, R M Smyth, P |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Time Series Prediction Visualisation |
Mar 1994 |
| (Hinton et al, 86) |
Distributed Representations Book Part: In Rumelhart, D. E. and McClelland, J. L., editors, Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Volume 1: Foundations MIT Press, Cambridge, MA |
Hinton, G E McClelland, J L Rumelhart, D E |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Time Series Prediction Visualisation |
1986 |
| (Ash, 89) |
Dynamic node creation in backpropagation networks Conference Paper: IJCNN 89, International Joint Conference on Neural Networks IEEE Press |
Ash, T |
ANNs EAs |
Jun 1989 |
| (Dailey et al, 02) |
EMPATH: A Neural Network that Categorizes Facial Expressions Article: Journal of Cognitive Neuroscience, Vol. 14 No. 8 |
Dailey, Matthew N Cottrell, Garrison W Padgett, Curtis Adolphs, Ralph |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction Visualisation |
2002 |
| (Ji and Dasgupta, 05) |
Estimating the detector coverage in a negative selection algorithm Article: Proceedings of the 2005 conference on Genetic and evolutionary computation (CEC '05) pp. 281 - 288 |
Ji, Zhou Dasgupta, Dipankar |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Time Series Prediction Visualisation |
2005 |
| (Fogel et al, 90) |
Evolutionary Programming for Training Neural Networks Conference Paper: Proceedings of the International Joint Conference on Neural Networks (IJCNN'90) |
Fogel, David B Fogel, Lawrence J Porto, V William |
ANNs EAs |
1990 |
| (Yao, 99) |
Evolving Artificial Neural Networks Article: Proceedings of the IEEE, Vol. 87 No. 9 pp. 1423-1447 IEEE Press |
Yao, Xin |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction Visualisation |
1999 |
| (Beer and Gallagher, 92) |
Evolving dynamical neural networks for adaptive behavior Collection Part: Adaptive Behavior, Vol. 1 No. 1 pp. 91-122 MIT Press |
Beer, Randall D Gallagher, John C |
ANNs EAs |
1992 |
| (Belew et al, 90) |
Evolving Networks: Using the Genetic Algorithm with Connectionist Learning Technical Report: CSE Technical Report CS90-174, University of California, San Diego |
Belew, Richard K McInerney, John Schraudolph, Nicol N |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Time Series Prediction Visualisation |
1990 |
| (Wieland, 91) |
Evolving neural network controllers for unstable systems Conference Paper: IJCNN-91, International Joint Conference on Neural Networks IEEE Press |
Wieland, A P |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction Visualisation |
Jul 1991 |
| (Knowles and Corne, 00) |
Evolving Neural Networks for Cancer Radiotherapy Book Part: Practical Handbook of Genetic Algorithms: Applications, 2nd Edition Chapman Hall |
Knowles, J D Corne, David |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction Visualisation |
2000 |
| (Mandischer, 95) |
Evolving recurrent neural networks with non-binary encoding Conference Paper: IEEE International Conference on Evolutionary Computation, 1995 IEEE Press |
Mandischer, M |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction |
Nov 1995 |
| (Miller et al, 93) |
Experimental comparison of the effect of order in recurrent neural networks Article: International journal of pattern recognition and artificial intelligence, Vol. 7 No. 4 pp. 849-872 World Scientific |
Miller, C B Giles, C Lee Guyon, I Wang, P S P |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Time Series Prediction Visualisation |
1993 |
| (Datta et al, 98) |
Experimental investigation into frost formation on display cabinet evaporators in order to implement defrost on demand Conference Paper: 7th International Refrigeration Conference, Purdue |
Datta, D Tassou, S A Marriott, D |
Refrigeration |
1998 |
| (Mohr et al, 04) |
Exploiting Immunological Properties for Ubiquitous Computing Systems Conference Paper: ICARIS 2004, Proceedings Springer |
Mohr, Philipp H Ryan, Nick Timmis, Jon |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction Visualisation |
Sep 2004 |
| (Watkins and Timmis, 04) |
Exploiting the Parallelism Inherent in AIRS, an Artificial Immune Classifier Conference Paper: ICARIS 2004, Proceedings Springer |
Watkins, Andrew Timmis, Jon |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction Visualisation |
Sep 2004 |
| (Craven and Shavlik, 95) |
Extracting Comprehensible Concept Representations from Trained Neural Networks Conference Paper: IJCAI Workshop on Comprehensibility in Machine Learning |
Craven, Mark W Shavlik, Jude W |
ANNs |
1995 |
| (Elman, 90) |
Finding Structure in Time Collection Part: Cognitive Science, Vol. 14, No. 2, pp. 179-211 |
Elman, Jeffrey L |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction Visualisation |
1990 |
| (Fogel, 06) |
Foundations of Evolutionary Computation Conference Paper: Modeling and Simulation for Military Applications, M. Blowers (chair), SPIE, Orlando, FL, pp. 1-13 |
Fogel, David B |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Time Series Prediction Visualisation |
2006 |
| (Tassou et al, 01) |
Frost formation and defrost control parameters for open multideck refrigerated food display cabinets Article: Proceedings of the Institute of Mechanical Engineering, Part A: Journal of Power and Energy, Volume 215, Number 2 pp. 213-222 |
Tassou, S A Datta, D Marriott, D |
Refrigeration |
2001 |
| (Datta and Tassou, 98) |
Frost formation and demand defrost of display cabinet evaporators Conference Paper: IIF-IIR Commission B2 and C2 with C1 and D2/3 |
Datta, D Tassou, S A |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Time Series Prediction Visualisation |
1998 |
| (Garrett, 05) |
How Do We Evaluate Artificial Immune Systems? Collection Part: Evolutionary Computation, Vol. 13, pp. 145-177 MIT Press |
Garrett, Simon M |
AIS |
2005 |
| (Olden and Jackson, 02) |
Illuminating the ‘‘black box’’: a randomization approach for understanding variable contributions in artificial neural networks Collection Part: Ecological Modelling, Vol. 154 No. 1-2 pp. 135-150 Elsevier |
Olden, J D Jackson, Donald A |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction Visualisation |
2002 |
| (Dasgupta et al, 04) |
Immunity-Based Aircraft Fault Detection System Conference Paper: AIAA 1st Intelligent Systems Technical Conference. pp. 1-14 |
Dasgupta, Dipankar Krishna Kumar, K Wong, D Berry, M |
AIS Fault Detection/Prediction Pattern Recognition |
2004 |
| (Lek et al, 95) |
Improved estimation, using neural networks, of the food consumption of fish populations Collection Part: Marine & Freshwater Research CSIRO Publishing |
Lek, Sovan Belaud, A Dimopoulos, Ioannis Lauga, J Moreau, J |
1995 | |
| (Oda and White, 03) |
Increasing the Accuracy of a Spam-Detecting Artificial Immune System Conference Paper: CEC 2003, Proceedings IEEE Press |
Oda, Terri White, Tony |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction Visualisation |
Dec 2003 |
| (Taylor and Corne, 04) |
Innate and Acquired Immunity in Real Time Systems Conference Paper: International Conference on Hybrid Intelligent Systems 2004, (HIS'04) Proceedings |
Taylor, Dan W Corne, David |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction Visualisation |
Nov 2004 |
| (Andrews and Timmis, 05) |
Inspiration for the Next Generation of Artificial Immune Systems Conference Paper: International Conference on Artificial Immune Systems (ICARIS), LNCS Vol. 3627, pp. 126-138 Springer |
Andrews, P Timmis, Jon |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Time Series Prediction Visualisation |
2005 |
| (Garson, 91) |
Interpreting neural-network connection weights Collection Part: AI Expert, Vol. 6 No. 4 pp. 46-51 Miller Freeman, Inc |
Garson, G. David |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction Visualisation |
Apr 1991 |
| (Stibor et al, 05) |
Is negative selection appropriate for anomaly detection? Conference Paper: Proceedings of Genetic and Evolutionary Computation Conference (GECCO), pp.321-328 ACM Press |
Stibor, Thomas Mohr, Philipp H Timmis, Jon Eckert, C |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Time Series Prediction Visualisation |
2005 |
| (Bengio et al, 94) |
Learning Long Term Dependencies with Gradient Descent is Difficult Article: IEEE Transactions on Neural Networks, Vol. 5 No. 2 pp. 157-166 IEEE Press |
Bengio, Yoshua Simard, Patrice Frasconi, Paolo |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction Visualisation |
1994 |
| (Hanson, 90) |
Meiosis networks Conference Paper: Advances in neural information processing systems 2, pp. 533-541 MIT Press |
Hanson, Stephen José |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Time Series Prediction Visualisation |
1990 |
| (Dasgupta et al, 03) |
MILA - Multilevel Immune Learning Algorithm Conference Proceedings: Proceedings of Genetic and Evolutiuonary Computation (GECCO) 2003, pp. 183-194 Springer |
Dasgupta, Dipankar Yu, Senhua Majumdar, Nivedita Sumi |
AIS |
Jul 2003 |
| (Dasgupta and Majumdar, 05) |
MILA – multilevel immune learning algorithm and its application to anomaly detection Collection Part: Soft Computing - A Fusion of Foundations, Methodologies and Applications, Vol. 9, No. 3, pp. 172-184 Springer |
Dasgupta, Dipankar Majumdar, Nivedita Sumi |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Time Series Prediction Visualisation |
Mar 2005 |
| (Hornik et al, 89) |
Multilayer feedforward networks are universal approximators Collection Part: Neural Networks Elsevier |
Hornik, K Stinchcombe, M White, H |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction Visualisation |
1989 |
| (Dasgupta et al, 04) |
Negative Selection Algorithm for Aircraft Fault Detection Conference Paper: Proceedings ICARIS 2004, pp. 1-13 Springer |
Dasgupta, Dipankar Krishna Kumar, K Wong, D Berry, M |
AIS Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction |
Sep 2004 |
| (Ayara et al, 02) |
Negative Selection: How to Generate Detectors Conference Paper: ICARIS 2002, Proceedings University of Kent at Canterbury Printing Unit |
Ayara, Modupe Timmis, Jon de Lemos, Rogerio de Castro, Leandro N Duncan, Ross |
AIS |
Sep 2002 |
| (Dimopoulos et al, 99) |
Neural network models to study relationships between lead concentration in grasses and permanent urban descriptors in Athens city (Greece) Collection Part: Ecological Modelling, Vol. 120 No. 2-3 pp. 157-165 Elsevier |
Dimopoulos, Ioannis Chronopoulos, J Chronopoulou-Sereli, A Lek, Sovan |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction Visualisation |
Aug 1999 |
| (Wejchert and Tesauro, 89) |
Neural Network Visualization Conference Paper: Advances in neural information processing systems 2 pp. 465-472 |
Wejchert, Jakub Tesauro, Gerald |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Time Series Prediction Visualisation |
1989 |
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Neural Networks for Time Series Processing Article: Neural Network World, Vol. 6 No. 4 pp. 447-468 |
Dorffner, Georg |
ANNs Time Series Prediction |
1996 |
| (Giles et al, 01) |
Noisy Time Series Prediction Using a Recurrent Neural Network and Grammatical Inference Article: Machine Learning, Vol. 44 No. 1/2 pp. 161-183 Springer |
Giles, C Lee Lawrence, Steve Tsoi, Ah Chung |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction Visualisation |
Aug 2001 |
| (Giles et al, 01) |
Noisy Time Series Prediction using recurrent Neural Networks and Grammatical Inference Collection Part: Machine Learning Springer |
Giles, C Lee Lawrence, Steve Tsoi, Ah Chung |
ANNs Time Series Prediction |
2001 |
| (Dasgupta and Forrest, 96) |
Novelty Detection in Time Series Data Using Ideas from Immunology Conference Paper: Proceedings of the 5th International Conference on Intelligent Systems, pp. 82--87 |
Dasgupta, Dipankar Forrest, Stephanie |
AIS Time Series Prediction |
Jun 1996 |
| (Taylor and Corne, 85) |
NPtMnbdsbJTwNBhb Conference Paper: 4th Asia Pacific Conference on Simulated Evolution and Learning (SEAL), Proceedings qAdmNfRBl |
Taylor, Dan W Corne, David |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Statistics Time Series Prediction Visualisation |
Nov 1985 |
| (Streeter et al, 01) |
NVIS: An interactive visualization tool for neural networks Collection Part: Proc. SPIE Vol. 4302 pp. 234-241, Visual Data Exploration and Analysis VIII, Robert F. Erbacher; Philip C. Chen; Jonathan C. Roberts; Craig M. Wittenbrink; Matti Groehn; Eds. |
Streeter, Matthew J Ward, Matthew O Alvarez, Sergio A |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction Visualisation |
Jun 2001 |
| (Andrews and Timmis, 05) |
On Diversity and Artificial Immune Systems: Incorporating a Diversity Operator into aiNET Conference Paper: Proceedings of WIRN/NAIS, LNCS Vol. 391, pp. 293-306 |
Andrews, P Timmis, Jon |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Time Series Prediction Visualisation |
Jun 2005 |
| (Stibor et al, 05) |
On the Appropriateness of Negative Selection defined over Hamming Shape Space As a Network Intrustion Detection System Conference Paper: Proceedings of the Congress on Evolutionary Computation (CEC) |
Stibor, Thomas Timmis, Jon Eckert, C |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Time Series Prediction Visualisation |
2005 |
| (Aickelin and Cayzer, 02) |
On the Effects of Idiotypic Interactions for Recommendation Communities in Artificial Immune Systems Conference Paper: ICARIS 2002, Proceedings University of Kent at Canterbury Printing Unit |
Aickelin, Uwe Cayzer, Steve |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction Visualisation |
Sep 2002 |
| (Stibor et al, 06) |
On the Use of Hyperspheres in Artificial Immune Systems as Antibody Recognition Regions Conference Paper: Proceedings of the 5th International Conference on Artificial Immune Systems (ICARIS-2006), LNCS Vol.4163, pp. 215-228 Springer |
Stibor, Thomas Timmis, Jon Eckert, C |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction Visualisation |
Sep 2006 |
| (Esponda et al, 04) |
Online Negative Databases Conference Paper: ICARIS 2004, Proceedings Springer |
Esponda, Fernando Ackley, Elena S Forrest, Stephanie Helman, Paul |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction Visualisation |
Sep 2004 |
| (Tzeng and Ma, 05) |
Opening the Black Box - Data Driven Visualization of Neural Networks Article: Visualization, 2005, pp. 383-390 IEEE Press |
Tzeng, Fan Yin Ma, Kwan Liu |
2005 | |
| (Le Cun et al, 90) |
Optimal brain damage Conference Paper: Advances in neural information processing systems 2, pages 598--605 MIT Press |
Le Cun, Yann Denker, John S Solla, Sara A |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Time Series Prediction Visualisation |
1990 |
| (Stribling et al, 97) |
Optimisation of design of refrigerated display cases using computational fluid dynamics Collection Part: Australia Institute of Refrigeration, Air Conditioning and Heating (AIRAH) Journal |
Stribling, D Tassou, S A Marriott, D |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Statistics Time Series Prediction Visualisation |
1997 |
| (Howell et al, 99) |
Potential savings in display case energy with reduced supermarket relative humidity Conference Paper: 20th International Conference on Refrigeration IIR/IIF |
Howell, R H Rosario, L Bondoc, M |
Refrigeration |
1999 |
| (Taylor et al, 02) |
Predicting Alarms in Supermarket Refrigeration Systems Using Evolved Neural Networks and Evolved Rulesets Conference Paper: World Congress on Computational Intelligence (WCCI-2002), Proceedings IEEE Press |
Taylor, Dan W Corne, David Taylor, David Harkness, Jack |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Time Series Prediction Visualisation |
May 2002 |
| (Giles and Omlin, 94) |
Pruning recurrent neural networks for improved generalization performance Collection Part: IEEE Transactions on Neural Networks, Vol. 5 No. 5 pp. 848-851 IEEE Press |
Giles, C Lee Omlin, C W |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Time Series Prediction Visualisation |
Sep 1994 |
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Randomization tests Book: Statistics, Textbooks And Monographs; Vol. 77 ISBN:0-824-77656-9 Marcel Dekker, Inc. New York, NY, USA |
Edgington, Eugene S |
Statistics |
1986 |
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Ranking Importance of Input Parameters Of Neural Networks Collection Part: Expert Systems with Applications, Vol. 15 pp. 405–411 Elsevier |
Sung, A H |
AIS ANNs Categorisation/Clustering Data Mining EAs Fault Detection/Prediction Optimisation Pattern Recognition Performance Analysis Refrigeration Spam Time Series Prediction Visualisation |
1998 |
| (Ji and Dasgupta, 04) |
Real valued negative selection algorithm with variable-sized detectors Conference Paper: LNCS 3102, Proceedings of GECCO '04, pp. 287-298 Springer |
Ji, Zhou Dasgupta, Dipankar |
AIS |
2004 |
| (Connor et al, 94) |
Recurrent Neural Networks and Robust Time Series Prediction Collection Part: IEEE Transactions on Neural Networks, Vol. 5 No. 2 pp. 240-254 IEEE Press |
Connor, Jerome T Martin, R. Douglas Atlas, L E |
ANNs Time Series Prediction |
Mar 1994 |
| (Husken and Stagge, 03) |
Recurrent Neural Networks for Time Series Classification Article: Neurocomputing Elsevier |
Husken, Michael Stagge, Peter |
ANNs Refrigeration |
2003 |
| (Azimi-Sadjadi et al, 93) |
Recursive dynamic node creation in multilayer neural networks Collection Part: IEEE Transactions on Neural Networks, Vol. 4 No. 2 pp. 242-256 IEEE Press |
Azimi-Sadjadi, M R Sheedvash, S Trujillo, F O |
ANNs |
Mar 1993 |
| (Freitas and Timmis, 03) |
Revisiting the Foundations of Artificial Immune Systems: A Problem Oriented Perspective Conference Paper: Proceedings of the 2nd International Conference on Artificial Immune Systems, Lecture Notes in Computer Science, Vol. 2787, pp. 229-241 Springer |
Freitas, Alex A Timmis, Jon |
AIS |
Sep 2003 |
| (Hassibi and Stork, 92) |
Second Order Derivatives for Network Pruning: Optimal Brain Surgeon Conference Paper: Advances in Neural Information Processing Systems 5 Morgan Kaufmann Publishers |
Hassibi, Babak Stork, David G |
ANNs |
1992 |
| (Giles et al, 91) |
Second-order recurrent neural networks for grammatical inference Article: IJCNN-91, International Joint Conference on Neural Networks IEEE Press |
Giles, C Lee Chen, D G Miller, C B Chen, Hsing-Hen Sun, Guo-Zheng Lee, Yee-Chung |
ANNs |
Jul 1991 |
| (Fogel, 90) |
Selecting an Optimal Neural Network Conference Paper: IECON '90, 16th Annual Conf. of the IEEE Industrial Electronics Society |
Fogel, David B |
ANNs EAs |
1990 |
| (Cholewo and Zurada, 97) |
Sequential Network Construction for Time Series Prediction Conference Paper: Proceedings International Conference on Neural Networks, Vol. 4 pp. 2034-2038 IEEE Press |
Cholewo, Tomasz J Zurada, Jacek M |
ANNs Time Series Prediction |
Jun 1997 |
| (May et al, 03) |
Software Vaccination: An Artificial Immune System Approach to Mutation Testing Conference Paper: ICARIS 2003, Proceedings Springer |
May, Peter Mander, Keith Timmis, Jon |
Sep 2003 | |
| (, 85) |
SPJdAwqYqpAeOdOamBQ Article: QcbEThRvxkvSySordMC EuTrdVuDFbvdVdKfhlz |
Mar 1985 | ||
| (, 85) |
SPJdAwqYqpAeOdOamBQ Article: QcbEThRvxkvSySordMC EuTrdVuDFbvdVdKfhlz |
Mar 1985 | ||
| (Wolpert, 92) |
Stacked generalization Collection Part: Neural Networks Elsevier |
Wolpert, David H |
ANNs |
1992 |
| (Herrera et al, 98) |
Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis Collection Part: Artificial Intelligence Review, Vol. 12 No. 4 pp. 265-319 Springer |
Herrera, F Lozano, M Verdegay, J L |
EAs |
Aug 1998 |
| (Hawkins and Boden, 05) |
The Applicability of Recurrent Neural Networks for Biological Sequence Analysis Collection Part: Transactions on Computational Biology and Bioinformatics (TCBB) IEEE Press |
Hawkins, John Boden, Mikael |
ANNs Time Series Prediction |
Jul 2005 |
| (Aickelin and Cayzer, 02) |
The Danger Theory and its Application to Artificial Immune Systems Conference Paper: ICARIS 2002, Proceedings University of Kent at Canterbury Printing Unit |
Aickelin, Uwe Cayzer, Steve |
AIS |
2002 |
| (Gonzalez et al, 03) |
The Effect of Binary Matching Rules in Negative Selection Conference Paper: Proceedings of Genetic and Evolutiuonary Computation (GECCO) 2003, pp. 195-206 Springer |
Gonzalez, Fabio Dasgupta, Dipankar Gomez, Jonatan |
AIS |
Jul 2003 |
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The upstart algorithm: A method for constructing and training feedforward neural networks Collection Part: Neural Computation, Vol. 2 No. 2 pp. 198-209 MIT Press |
Frean, M |
ANNs EAs |
1990 |
| (Koskela et al, 96) |
Time Series Prediction with Multilayer Perceptron, FIR and Elman Neural Networks Conference Paper: World Congress on Neural Networks 1996, Proceedings INNS Press |
Koskela, Timo Lehtokangas, Mikko Saarinen, Jukka Kaski, Kimmo |
ANNs Time Series Prediction |
1996 |
| (Olden and Jackson, 00) |
Torturing the data for the sake of generality: how valid are our regression models Collection Part: Ecoscience |
Olden, J D Jackson, Donald A |
ANNs |
2000 |
| (Stepney et al, 04) |
Towards a Conceptual Framework for Artificial Immune Systems Conference Paper: Third International Conference on Artificial Immune Systems, number 3239 in LNCS, pp. 53-64 Springer |
Stepney, Susan Smith, R Timmis, Jon Tyrrell, A |
AIS |
2004 |
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Training feedforward neural networks using genetic algorithms Conference Paper: Proceedings of the International Joint Conference on Artificial Intelligence |
Montana, David J Davis, Lawrence |
ANNs EAs |
1989 |
| (, 02) |
txzddgzzdh Article: NwrmqwixHld CDmAtLhx |
Sep 2002 | ||
| (, 02) |
txzddgzzdh Article: NwrmqwixHld CDmAtLhx |
Sep 2002 | ||
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Use of artificial neural networks for modelling cyanobacteria Anabaena spp. in the River Murray, South Australia Collection Part: Ecological Modelling, Vol. 105 No. 2-3 pp. 257-272 Elsevier |
Maier, H R Dandy, G C Burch, M D |
ANNs Visualisation |
1998 |
| (Fogel and Sebald, 90) |
Use of Evolutionary Programming in the Design of Neural Networks for Artifact Detection Conference Paper: Proceedings of IEEE EMBS |
Fogel, David B Sebald, A V |
ANNs EAs |
1990 |
| (Dimopoulos et al, 95) |
Use of some sensitivity criteria for choosing networks with good generalization ability Collection Part: Neural Processing Letters Springer |
Dimopoulos, Ioannis Bourret, Paul Lek, Sovan |
ANNs |
Dec 1995 |
| (Duch, 04) |
Visualization of Hidden Node Activity in Neural Networks: I. Visualization Methods Conference Paper: Proceedings ICAISC 2004 Artificial Intelligence and Soft Computing, pp. 38-43 Springer |
Duch, Wlodzislaw |
ANNs Visualisation |
Jun 2004 |
| (Duch, 04) |
Visualization of Hidden Node Activity in Neural Networks: II. Application to RBF Networks Conference Paper: Proceedings ICAISC 2004 Artificial Intelligence and Soft Computing, pp. 44-49 Springer |
Duch, Wlodzislaw |
ANNs Visualisation |
Jun 2004 |
| (Agogino et al, 99) |
Visualization of Radial Basis Function Networks Conference Paper: IJCNN '99. International Joint Conference on Neural Networks IEEE Press |
Agogino, Adrian Ghosh, Joydeep Martin, Cheryl |
ANNs Visualisation |
1999 |
| (, 85) |
zsHsInJrPyxHGJxs Article: gaKvOouFPzK SWNIoVXAyXIcklgEZ |
Feb 1985 | ||
| (, 85) |
zsHsInJrPyxHGJxs Article: gaKvOouFPzK SWNIoVXAyXIcklgEZ |
Feb 1985 |