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The BP neural network is a feed-forward network trained by backward propagation of errors algorithm, which is the most widely used neural network model, but BP neural network can't avoid the shortcoming that is strong randomness and easily converging to local minimum. In this paper, we discuss the principle, structure and realization way of BP neural network improved by genetic algorithm, which can...
The traditional BP neural network training method processes the training dataset serially on one machine, so the efficiency is quite low. The massive data that need to be explored brings great challenge for BP neural network. The traditional serial training method of BP neural network will encounter many problems, such as costing too much time and insufficient memory to finish the training process...
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