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Fuzzy-valued evolution strategy for evolving neural networks with fuzzy weights and biases

Hidehiko Okada, Akira Yamashita, Takashi Matsuse, Tetsuya Wada. Fuzzy-valued evolution strategy for evolving neural networks with fuzzy weights and biases. In The 6th International Conference on Soft Computing and Intelligent Systems (SCIS), and The 13th International Symposium on Advanced Intelligence Systems (ISIS), Kobe, Japan, November 20-24, 2012. pages 277-280, IEEE, 2012. [doi]

Authors

Hidehiko Okada

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Akira Yamashita

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Takashi Matsuse

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Tetsuya Wada

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