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Local minimum is an integrated problem in training of artificial neural networks (ANNs) and the speed of convergence is very slow due to this effect. To avoid this problem, the chaotic variations of learning rate (LR) are included with the conventional learning rate. In this paper, chaotic variations of LR have been included with the learning rate of three algorithms such as backpropagation (BP),...
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