Modified counterpropagation employing neo fuzzy neurons and its application to system modeling

2001 International Conferences on Info-Tech and Info-Net: A Key to Better Life, ICII 2001 - Proceedings

Volumn 4, Issue , 2001, Pages 50-55

  Horio, K ^a   Yamakawa, T ^a,b  

^a KYUSHU INSTITUTE OF TECHNOLOGY   (Japan)

^b FUZZY LOGIC SYSTEMS INSTITUTE   (Japan)

Author keywords

competitive learning; counterpropagation; gradient descent method; neo fuzzy neuron; nonlinear synapse

Indexed keywords

EID: 84964627109     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICII.2001.983718     Document Type: Conference Paper

References (5)

1. R. Hecht-Nielsen, "Counterpropagation Networks," Proceedings of The First International Conference on Neural Networks, Vol.2, pp.19-31, 1987.
2. R. Hecht-Nielsen, Neurocomputing, Addison Wesley Publishing Company, 1989.
3. T. Kohonen, Self-Organizing Maps, Springer-Verlag, 1995.
4. S. Grossberg, "Embedding Fields: A Theory of Learning with Physiological Implication," Journal of Mathmatics and Phycology, Vol.6, pp.209-239, 1969.
5. T. Yamakawa, E. Uchino, T. Miki and H. Kusanagi, "A Neo Fuzzy Neuron and Its Applications to System Identification and Prediction of the System Behavior," Proceedings of IIZUKA'92, pp.477-483, 1992.