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A Study on the Convergence of Gradient Method with Momentum for Sigma-Pi-Sigma Neural Networks

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Document pages: 8 pages

Abstract: In this paper, a gradient method with momentum forsigma-pi-sigma neural networks (SPSNN) is considered in order to accelerate theconvergence of the learning procedure for the network weights. The momentumcoefficient is chosen in an adaptive manner, and the corresponding weakconvergence and strong convergence results are proved.

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