Daw-Ran Liou

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Since the kernel function in support vector machine is arbitrary, it carries no physical meaning in practical applications. This work presents a bi-perceptron network that works in real physical space. All network parameters can be obtained in a constructive way without training. It is a divide-and-conquer way with perfect performance. We show how to(More)
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