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(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  
(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  
(Knight et al, 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
Adolphs, Ralph
Hawkins, John
Boden, Mikael
Abraham, Ajith
Giles, C Lee
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
Dec 2002  
(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  
(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  
(Freitas et al, 02)

A Survey of Evolutionary Algorithms for Data Mining and Knowledge Discovery

Collection Part: Advances In Evolutionary Computation Springer

Freitas, Alex A
Adolphs, Ralph
Boden, Mikael
Hawkins, John
Abraham, Ajith
Giles, C Lee
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 et al, 01)

aiVIS - Artificial Immune Network Visualisation

Conference Paper: EuroGraphics UK 2001 Conference Proceedings

Timmis, Jon
Adolphs, Ralph
Boden, Mikael
Hawkins, John
Abraham, Ajith
Giles, C Lee
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
Apr 2001  
(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  
(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 and Corne, 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
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, 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
Boden, Mikael
Hawkins, John
Adolphs, Ralph
Abraham, Ajith
Giles, C Lee
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Statistics
Time Series Prediction
Visualisation
May 2002  
(Ji et al, 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
Adolphs, Ralph
Hawkins, John
Boden, Mikael
Abraham, Ajith
Giles, C Lee
Berry, M
Esponda, Fernando
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Statistics
Time Series Prediction
Visualisation
 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 et al, 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
Adolphs, Ralph
Boden, Mikael
Hawkins, John
Abraham, Ajith
Giles, C Lee
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  
(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 et al, 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
Boden, Mikael
Hawkins, John
Adolphs, Ralph
Abraham, Ajith
Giles, C Lee
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Statistics
Time Series Prediction
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
Adolphs, Ralph
Hawkins, John
Boden, Mikael
Abraham, Ajith
Giles, C Lee
Berry, M
Esponda, Fernando
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  
(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
Adolphs, Ralph
Hawkins, John
Boden, Mikael
Abraham, Ajith
Giles, C Lee
Berry, M
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  
(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  
(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  
(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
Adolphs, Ralph
Boden, Mikael
Hawkins, John
Abraham, Ajith
Giles, C Lee
Berry, M
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Statistics
Time Series Prediction
Visualisation
 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 et al, 04)

Exploiting the Parallelism Inherent in AIRS, an Artificial Immune Classifier

Conference Paper: ICARIS 2004, Proceedings Springer

Watkins, Andrew
Timmis, Jon
Hawkins, John
Boden, Mikael
Adolphs, Ralph
Abraham, Ajith
Giles, C Lee
AIS
ANNs
Categorisation/Clustering
Data Mining
EAs
Fault Detection/Prediction
Optimisation
Pattern Recognition
Performance Analysis
Refrigeration
Spam
Time Series Prediction
Visualisation
Sep 2004  
(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  
(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  
(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
Adolphs, Ralph
Boden, Mikael
Hawkins, John
Abraham, Ajith
Giles, C Lee
AIS
Fault Detection/Prediction
Pattern Recognition
 2004  
(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 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
Hawkins, John
Adolphs, Ralph
Boden, Mikael
Abraham, Ajith
Giles, C Lee
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  
(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  
(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  
(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
Adolphs, Ralph
Hawkins, John
Boden, Mikael
Abraham, Ajith
Giles, C Lee
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  
(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  
(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  
(Sung, 98)

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