A Learning Method of Neural Network with Lattice Architecture-Reference-Cited by-同舟云学术

A Learning Method of Neural Network with Lattice Architecture

Published:2002 Issue:1 Volume:14 Page:28-42
ISSN:0915-647X
Container-title:Journal of Japan Society for Fuzzy Theory and Systems
language:en
Short-container-title:

Author:

ICHIMURA Takumi¹,OEDA Shinichi²,YAMASHITA Toshiyuki²,TAZAKI Eiichiro³

Affiliation:

1. Faculty of Information Sciences, Hiroshima City University

2. Graduate School of Engineering, Tokyo Metropolitan Institute of Technology

3. Faculty of Engineering, Toin University of Yokohama

Publisher

Japan Society for Fuzzy Theory and Intelligent Informatics

Link

https://www.jstage.jst.go.jp/article/jfuzzy/14/1/14_KJ00002088991/_pdf

Reference13 articles.

1. 1) ICHIMURA T. Analyses of college students' concept by fuzzy structural modeling (FSM) method with planar lattice neural network. Proc. of IEEE Intl. Conf. on Systems, Man and Cybernetics. (1999) vol.III, p.298-303.

2. 2) KOHONEN T. Self-organized formation of topologically correct feature maps. Biol. Cybern. (1982) vol.43, p.59-69.

3. 3) KOHONEN T. Self-Organizing Maps. Springer Series in Information Sciences. (1995) vol.30,

4. 4) TAZAKI E. Reasoning and learning method for fuzzy rules using structure level adaptation of neural networks. Proc. of 1993 International Fuzzy Systems and Intelligent Controls Conference (IFSICC'93). (1993) p.213-222.

5. 5) ICHIMURA T. Learning and extracting method for fuzzy rules using neural networks with modified structure level adaptation - its application to medical diagnosis -. Proc. of the 3rd International Conference on Fuzzy Logic, Neural Nets and Soft Computing (IIZUKA'94). (1994) p.87-90.

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