True parallel processing in artificial neural networks

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Title: True parallel processing in artificial neural networks
Author: Engel, Alejandro
Abstract: The area of artificial neural networks, which dates back to the early twentieth century, could only offer positive contributions to technology after the back-propagation algorithm was proposed in 1986. In this note an alternative algorithm to the gradient descent used in back-propagation is proposed. This algorithm is based on the discrete central difference. This procedure, as opposed to the back-propagation algorithm, offers the possibility of true parallel computation.
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Date: 2001

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