In engineering applications often encounter a number of complex nonlinear systems, complex equation of state of these systems is difficult to accurately modeled using mathematical methods. In this case, BP neural network can be established express these nonlinear systems. The method of the unknown system as a black box, first with the system input and output data to train BP neural network so that the network can express the unknown function, then you can use the trained BP neural network prediction system output.

案例2 BP神经网络的非线性系统建模-非线性函数拟合\addon.m
...............................................\BP.m
...............................................\BP_Hidden.m
...............................................\chapter17.m
...............................................\data.mat
...............................................\p.mat
...............................................\运行说明.txt
案例2 BP神经网络的非线性系统建模-非线性函数拟合

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