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The concept of monotonic value is presented to predetermine the optimal or near optimal number of hidden neurons needed in a feedforward neural network with one hidden layer. The approximation of an estimated neural network to y=sin(2πx) is weli simulated and the monotonic value of Xor is proven to be 2.
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