BP neural network optimization algorithm based on
2016-08-23
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BP network is a kind of multilayer feedforward neural network. Its name comes from the BP learning algorithm, which is the back propagation learning algorithm of error in the process of network training. BP algorithm was proposed by Rumelhart et al in 1986. Because of its simple structure, many adjustable parameters, many training algorithms and good operability, BP neural network has been widely used. According to statistics, 80% - 90% of the neural network models adopt BP network or its variants. BP network is the core part of the forward network, and it is the most beautiful and perfect part of the neural network. Although BP neural network is the most widely used algorithm in artificial neural network, it also has some defects, such as: ①, the learning convergence speed is too slow; ②, it can not guarantee the convergence to the global minimum; ③, the network structure is not easy to determine.
matlab
算法
神经网络
bp
基于
遗传
优化
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