An improvement on genetic-based learning method for fuzzy artificial neural networks

Fuzzy artificial neural networks (FANNs), which are the generalizations of artificial neural networks (ANNs), refer to connectionist systems in which all inputs, outputs, weights and biases may be fuzzy values. This paper proposes a two-phase learning method for FANNs, which reduces the generated er...

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Main Authors: Selamat, Ali, Reza Mashinchi, M.
格式: Article
出版: Elsevier 2009
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在線閱讀:http://eprints.utm.my/id/eprint/12984/
http://dx.doi.org/10.1016/j.asoc.2009.03.011
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