Methods of computational intelligence

Proceedings of the IEEE International Conference on Industrial Technology

Volumn 1, Issue , 2004, Pages 1-8

  Wilamowski, Bogdan M ^a,b  

^a IEEE   (United States)

^b AUBURN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CASCADE CORRELATION NETWORK; DELTA LEARNING; FUZZY SYSTEMS; WINNER TAKE ALL LEARNING;

COMPUTER ARCHITECTURE; CORRELATION METHODS; LEARNING ALGORITHMS; LEAST SQUARES APPROXIMATIONS; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS;

ARTIFICIAL INTELLIGENCE;

EID: 27944495950     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Wasserman, P.D. 1989. Neural Computing Theory and Practice. Van Nostrand Reinhold, New York.
2. Wilamowski, B.M. Neural network architectures and learning 2003 IEEE International Conference on Industrial Technology 10-12 Dec. 2003 pp. TU1 - T12
3. Wilamowski, B.M, Neural Networks and Fuzzy Systems, chapter 32 in Mechatronics Handbook edited by Robert R. Bishop, CRC Press, pp. 33-1 to 32-26, 2002.
4. Holland, J.H. 1975. Adaptation in Natural and Artificial Systems. Univ. of Michigan Press, Ann Arbor, MI.
5. Goldberg, D.E. 1989. Genetic Algorithm in Search, Optimization and Machine Learning. Addison-Wesley, Reading Mass.
6. Hebb, D.O. 1949. The Organization of Behivior, a Neuropsychological Theory. John Wiley, New York
7. Kohonen, T. 1990. The self-organized map. Proc. IEEE 78(9):1464-1480.
8. Grossberg, S. 1969. Embedding fields: a theory of learning with physiological implications. Journal of Mathematical Psychology 6:209-239.
9. Y. H. Pao, Adaptive Pattern Recognition and Neural Networks, Reading, Mass. Addison-Wesley Publishing Co. 1989
10. Hecht-Nielsen, R. 1987. Counterpropagation networks. Appl. Opt. 26(23):4979-4984.