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As the important subfield and the quintessence of Artificial Neural Network, BP Neural Network accelerated the development in this field. BP algorithm uses the steepest descent algorithm, thus there are two main shortcomings of slow convergence rate and easy to fall into local minimum. According to this, this paper researches on the basis of the standard BP algorithm and presented many improved back propagation algorithms from the factor of the learning rate, error function, activation function, optimization algorithm, the network structure and other aspects.

Research and Improvement on Error Back Propagation Neural Network and Learning Algorithm