A Creating Method of Fuzzy Inference Rules by Self-Creating Neural Network
Author:
Affiliation:
1. Department of Electronic Control Engineering, Kagoshima National College of Technology
2. Faculty of Engineering, Kagoshima University
Publisher
Japan Society for Fuzzy Theory and Intelligent Informatics
Link
https://www.jstage.jst.go.jp/article/jfuzzy/11/3/11_KJ00002086880/_pdf
Reference15 articles.
1. 1) ICHIHASHI H. Iteractive fuzzy modeling and a hierarchical network. Proceeding of 4th IFSA Congress, Engineering. (1991) p.49-52.
2. 2) NOMURA H. A learning method of fuzzy inference rules by descent method. FUZZ-IEEE/IFES '92. (1992) p.203-210.
3. 3) TAKAGI H. Neuralnetworks designed on approximate reasoning architecture. Journal of Japan Society for Fuzzy Theory and Systems. (1991) vol.3, no.1, p.133-141.
4. 4) KOSKO B. Neural Networks and Fuzzy Systems, a Dynamical Approach to Machine Intelligent. Prentice Hall, England cliffs, N. T.. (1992)
5. 5) ICHIHASHI H. Learning control by fuzzy using a simplified fuzzy reasoning. Journal of Japan Society for Fuzzy Theory and Systems. (1990) vol.2, no.3, p.429-437.
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Fuzzy Reasoning Model with Deletion of Rules Consisting of Small-Number-of-Input Rule Modules;Journal of Japan Society for Fuzzy Theory and Intelligent Informatics;2010
2. 10.3156/jsoft.16.372;Journal of Japan Society for Fuzzy Theory and Intelligent Informatics;2004
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