earticle

영어

This essay proposes a method of BP neural network constrained optimization based on previous studies. The optimization method based on the BP neural network, takes the minimum output of a neural network as an example, gives the general mathematical models, derives and gives the partial derivatives of BP network's output to input, and uses the Sigmoid Function as the transmission function in the article. On the previous studies basis, the basic ideas, algorithms and related models are given, based on the constrained optimization issues of BP neural network. We can adjust the input values of BP neural network to obtain the minimum or maximum output value by using this method. This optimization method links the optimization and fitting of BP networks together and expands the application of the BP neural network. At last, in this essay, the optimization method is applied in an example.