Yahya Forghani

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A fuzzy min–max neural network with symmetric margin (FMNWSM) is proposed in this paper. Therefore, its probability of misclassification is lower than traditional fuzzy min–max neural networks if both training and test samples are from identical probability distribution. Meanwhile, data is classified with symmetric margin by the use of a non-linear program(More)
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