SIRMs Fuzzy Inference Model with Linear Transformation of Input Variables and Universal Approximation-Reference-Cited by-同舟云学术

SIRMs Fuzzy Inference Model with Linear Transformation of Input Variables and Universal Approximation

Published:2015 Issue: Volume: Page:561-575
ISSN:0302-9743
Container-title:Advances in Computational Intelligence
language:
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Author:

Miyajima Hirofumi,Shigei Noritaka,Miyajima Hiromi

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-19258-1_46

Reference13 articles.

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3. Casillas, J., Cordon, O., Herrera, F., Magdalena, L.: Accuracy Improvements in Linguistic Fuzzy Modeling. STUDFUZZ, vol. 129. Springer, Heidelberg (2003)

4. Nomura, H., Hayashi, I., Wakami, N.: A learning method of simplified fuzzy reasoning by genetic algorithm. In: Proc. of the Int. Fuzzy Systems and Intelligent Control Conference, pp. 236–245 (1992)

5. Fukumoto, S., Miyajima, H.: Learning Algorithms with Regularization Criteria for Fuzzy Reasoning Model. Journal of Innovative Computing Information and Control 2(1), 249–263 (2006)

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