Ahmad Taha Abdulsadda

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— this paper presents a Wavelet-based Recurrent Fuzzy Neural Networks (WRFNN) trained with a stochastic search-based adaptation algorithm. A WRFNN represents a recurrent network of neurons employing wavelet functions whose outputs are combined using fuzzy rules. In this paper an earlier WRFNN model proposed by Lin, and Chin, [1], is modified by application(More)
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