Fast learning in a backpropagation algorithm with a sine-type thresholding function.
A new approach to learning in a multilayer neural network based on a backpropagation algorithm is presented. With a sine-type thresholding function the model is more efficient and able to learn nonnegative interconnections that are suitable for optical implementations.
Zhang
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Wang
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