Fuzzy Reasoning Model with Deletion of Rules Consisting of Small-Number-of-Input Rule Modules

Author:

MIIKE Toshiaki,MIYAJIMA Hiromi,SHIGEI Noritaka,NOO Kentarou

Publisher

Japan Society for Fuzzy Theory and Intelligent Informatics

Reference22 articles.

1. [1] S. Fukumoto and H. Miyajima, “Learning Algorithms with Regularization Criteria for Fuzzy Reasoning Model,” Journal of Innovative Computing, Information and Control, vol.1, no.1, pp.249-263, 2006.

2. [2] C. Lin and C. Lee, Neural Fuzzy Systems: A Neuro-Fuzzy Synergism to Intelligent Systems, Prentice-Hall PTR, 1996.

3. [3] N.K. Kasabov, Foundations of Neural Networks, Fuzzy Systems and Knowledge Engineering, The MIT Press, 1996.

4. [4] B. Kosko, Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to Machine Intelligence, Prentice Hall, 1991.

5. Neural-networks designed on Approximate Reasoning Architecture

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