Artificial immune recognition system (AIRS): An immune-inspired supervised learning algorithm

Genetic Programming and Evolvable Machines

Volumn 5, Issue 3, 2004, Pages 291-317

  Watkins, Andrew ^a,b   Timmis, Jon ^a   Boggess, Lois ^b  

^a UNIVERSITY OF KENT   (United Kingdom)

^b MISSISSIPPI STATE UNIVERSITY   (United States)

Author keywords

Artificial immune systems; Classification; Neural networks; Supervised learning

Indexed keywords

COGNITIVE SYSTEMS; DATA REDUCTION; GENETIC ALGORITHMS; IMMUNOLOGY; LEARNING ALGORITHMS; NEURAL NETWORKS;

ARTIFICIAL IMMUNE RECOGNITION SYSTEMS (AIRS); ARTIFICIAL IMMUNE SYSTEMS; SUPERVISED LEARNING;

LEARNING SYSTEMS;

EID: 3543121725     PISSN: 13892576     EISSN: None     Source Type: Journal    
DOI: 10.1023/B:GENP.0000030197.83685.94     Document Type: Article

References (34)

1. M. Ayara, J. Timmis, R. D. Lemos, L. N. D. Castro, and R. Duncan, "Negative selection: How to generate detectors," in Proceedings of 1st International Conference on Artificial Immune Systems (ICARIS), J. Timmis and P. Bentley (Eds.), Canterbury, UK, 2002, pp. 89-98.
2. H. Bersini and F. Varela, "Hints for adaptive problem solving gleaned from immune networks," in Parallel Problem Solving from Nature and 1st Workshop PPSW 1, Dortmund and Federal Republic of Germany, 1990, pp. 343-354.
3. C. M. Bishop, Neural Networks for Pattern Recognition. Oxford University Press: Oxford, UK, 1995.
4. C. L. Blake and C. J. Merz, UCI Repository of Machine Learning Databases, 1998. http://www.ics.uci.edu/mlearn/MLRepository.html.
5. E. Bonabeau, M. Dorigo, and G. Theraulaz, Swarm Intelligence: From Natural to Artifical Systems. MIT Press, 2000.
6. F. Burnet, The Clonal Selection Theory of Acquired Immunity. Cambridge University Press, 1959.
7. J. H. Carter, "The immune systems as a model for pattern recognition and classification," Journal of the American Medical Informatics Association, vol. 7, no. 1, pp. 28-41, 2000.
8. L. N. de Castro and J. Timmis, "An artificial immune network for multimodal optimisation," in Congress of Evolutionary Computation, Part of the World Congress on Computational Intelligence, R. Ebherhart (Ed.), Honolulu, HI. IEEE Piscataway, NJ, 2002, pp. 699-704.
9. L. N. de Castro and J. Timmis, Artificial Immune Systems: A New Computational Intelligence Approach. Springer-Verlag, 2002.
10. L. N. de Castro and F. von Zuben, "The clonal selection algorithm with engineering applications," in Proceedings of Genetic and Evolutionary Computation, D. Whitley, D. Goldberg, E. CantuPaz, L. Spector, I. Parmee, and H. Beyer(Eds.), Morgan Kaufman, San Francisco, CA, 2000, pp. 36-37.
11. L. N. de Castro and F. von Zuben, "An evolutionary immune network for data clustering," in Brazilian Simposium on Artificial Neural Networks. San Paulo, BR, IEEE, 2000, pp. 187-204.
12. W. Duch, Datasets used for classification: Comparison of results, 2000a http://www. phys.uni.torun.pl/kmk/projects/datasets.html.
13. W. Duch, Logical rules extracted from data, 2000. http://www.phys.uni. torun.pl/kmk/projects/rules.html.
14. J. Farmer, N. Packard, and A. Perelson, "The immune system and adaptation and machine learning," Physica D, vol. 22, pp. 187-204, 1986.
15. J. D. Farmer, "A rosetta stone for connectionism," Physica D, vol. 42, pp. 153-187, 1990.
16. S. Forrest, A. Perleson, L. Allen, and R. Cherukuri, "Self-Nonself discrimination in a computer," in Proceedings of IEEE Symposium on Research in Security and Privacy, Oakland, USA, 1994, pp. 202-212.
17. D. Goodman, L. Boggess, and A. Watkins, "Artificial immune system classification of multiple-class problems," in Intelligent Engineering Systems Through Artificial Neural Networks, C. H. Dagli, A. L. Buczak, J. Ghosh, M. J. Embrechts, O. Ersoy, and S. W. Kercel (Eds.), New York, vol. 12, 2002, pp. 179-184.
18. D. Goodman, L. Boggess, and A. Watkins, "An investigation into the source of power for AIRS, an artificial immune classification system," in Proceedings of the 2003 International Joint Conference on Neural Networks, 2003. To appear.
19. S. Haykin, Neural Networks: A Comprehensive Foundation. Prentice Hall: Upper Saddle River, NJ, USA, 1999.
20. S. Hofmeyr and S. Forrest, "Arichitecture for an aritifcial immune system," Evolutionary Computation, vol. 7, no. 1, pp. 45-68, 2000.
21. N. Jerne, "Towards a network theory of the immune system," Annals of Immunology (Inst.Pasteur), vol. 125C, pp. 373-389, 1974.
22. J. Kennedy and R. Eberhart, Swarm Intelligence, Morgan Kaufmann, 2001.
23. J. Kim and P. Bentley, "Towards an artificial immune system for network intrusion detection: An investigation of clonal selection with negative seelction," in Proceedings of the Congress on Evolutionary Computation, B. Moon (Ed.), Soeul, Korea, IEEE Piscatawy, NJ, 2001, pp. 1244-1252.
24. G. Marwah, and L. Boggess, "Artificial Immune Systems for Classification: Some Issues," in Proceedings of the 1st International Conference on Artificial Immune Systems (ICARIS), J. Timmis and P. J. Bentley (Eds.), vol. 1, University of Kent at Canterbury, 2002, pp. 149-153.
25. M. Mitchell, An Introduction to Genetic Algorithms, MIT Press, 1996.
26. T. Mitchell, Machine Learning, McGraw-Hill, 1997.
27. O. F. Nasaroui, F. Gonzalez, and D. Dasgupta, 'The fuzzy artificial immune system: Motivations, basic concepts and application to clustering and web profiling," in International Joint Conference on Fuzzy Systems. Part of the World Congress on Computational Intelligence, R. Ebherhart (Ed.), Honolulu, HI, IEEE Piscataway, NJ, 2002, pp. 711-717.
28. J. Timmis, "Artificial immune systems: A novel data analysis technique inspired by the immune network theory," Ph.D. thesis, Department of Computer Science, University of Wales, Aberystwyth, 2000.
29. J. Timmis and M. Neal, "A resource limited artificial immune system," Knowledge Based Systems, vol. 14, nos. 3/4, 121-130, 2001.
30. J. Timmis, M. Neal, and J. Hunt, "An artificial immune system for data analysis," Biosystems, vol. 55, nos. 1/3, pp. 143-150, 2000.
31. A. Watkins, "A resource limited artificial immune classifier," Master's thesis, Mississippi Sate University, 2001.
32. A. Watkins and L. Boggess, "A new classifier based on resource limited artificial immune systems," in Congress on Evolutionary Computation. Part of the World Congress on Computational Intelligence, R. Ebherhart (Ed.), Honolulu, HI, IEEE Piscataway, NJ, 2002, pp. 1546-1551.
33. A. Watkins and L. Boggess, "A resource limited artificial immune classifier," in Congress on Evolutionary Computation. Part of the World Congress on Computational Intelligence, R. Ebherhart (Ed.), Honolulu, HI, IEEE Piscataway, NJ, 2002, pp. 926-931.
34. A. Watkins and J. Timmis, "Artificial immune recognition system (AIRS): Revisions and refinements," in Proceedings of the 1st International Conference on Artificial Immune Systems (ICARIS), J. Timmis and P. J. Bentley (Eds.), University of Kent at Canterbury, 2002, pp. 173-181.