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In this paper, a smooth function is constructed to approximate the nonsmooth output of max –min fuzzy neural networks (FNNs) and its approximation is also presented. In place of the output of max –min FNNs by its smoothing approximation function, the error function, defining the discrepancy between the actual outputs and desired outputs of max –min FNNs, becomes a continuously differentiable function...
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