Proposal of Reliability Index in Search for Reliable Solutions of Reverse Calculation Based on Fuzzy Neural Network Modeling-Reference-Cited by-同舟云学术

Proposal of Reliability Index in Search for Reliable Solutions of Reverse Calculation Based on Fuzzy Neural Network Modeling

Published:2004 Issue:4 Volume:37 Page:523-530
ISSN:0021-9592
Container-title:JOURNAL OF CHEMICAL ENGINEERING OF JAPAN
language:en
Short-container-title:J. Chem. Eng. Japan

Author:

Hanai Taizo¹,Iwata Naoya¹,Furuhashi Takeshi²,Honda Hiroyuki¹,Kobayashi Takeshi¹

Affiliation:

1. Department of Biotechnology, School of Engineering, Nagoya University

2. Department of Information Electronics, Nagoya University

Publisher

Society of Chemical Engineers, Japan

Subject

General Chemical Engineering,General Chemistry

Link

http://www.jstage.jst.go.jp/article/jcej/37/4/37_4_523/_pdf

Reference15 articles.

1. Baker, J. E.; “Adaptive Selection Methods for Genetic Algorithms,” Proc. ICGA., 1, 101–111 (1985)

2. Catto, J. W., D. A. Linkens, M. F. Abbod, M. Chen, J. L. Burton, K. M. Feeley and F. C. Hamdy; “Artificial Intelligence in Predicting Bladder Cancer Outcome: A Comparison of Neuro-fuzzy Modeling and Artificial Neural Networks,” Clin. Cancer Res., 9, 4172–4177 (2003)

3. Logistic regression and artificial neural network classification models: a methodology review

4. Fonseca, C. M. and P. J. Fleming; “Genetic Algorithms for Multiobjective Optimization: Formulation, Discussion and Generalization,” Proc. of the 5th International Conference on Genetic Algorithms, pp. 416–423, Urbana-Champaign, USA (1993)

5. Hanai, T., A. Kakamu, H. Honda, T. Furuhashi, Y. Uchikawa and T. Kobayashi; “Modeling of Total Evaluation Process of Ginjo Sake Using a Fuzzy Neural Network,” Trans. SICE., 2, 1113–1120 (1996)

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