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Optimization problems of a back-propagation neural network (BPNN) can be categorized into optimal network topology (including the number of neurons in a hidden layer, learning rate and the momentum term) and weights. This study focuses on the optimization of weights. The conventional BPNN uses the steepest descent method, i.e. a local optimization technique, to minimize an energy function (cost function)...
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