Construction of BP neural network for nonlinear function fitting structure according to the characteristics of BP neural network, the nonlinear function of two input parameters and one output parameter, so the structure of the BP neural network is 2 - 5 - 1, namely, the input layer has 2 nodes, 5 nodes in hidden layer, the output layer has 1 nodes. 2000 sets of input and output data are obtained randomly from the nonlinear function. 1900 groups are randomly selected as training data and used for network training. The 100 set is used as test data to test the network's fitting performance.

BP神经网络的非线性系统建模_非线性函数拟合\BP_Hidden.m
BP神经网络的非线性系统建模_非线性函数拟合\data.mat
BP神经网络的非线性系统建模_非线性函数拟合

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