Jing-Yun Carey Fan

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The classical S-bit parity two-class pattern classification problem can be solved by a multilayer perceptron (MLP) with only H = [(B+1)/2] hidden nodes. By our "symmetric" arguments, we show the following: (1) H hidden nodes may consist of one "linear" and (H-1) binary-valued step-functions (i.e., McCulloch-Pitts neurons) for a facile solution (of(More)
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