基于BP神经网络的函数拟合算法研究(2)

Function Fitting Based on BP Neural Network

[Abstract] Artificial neural network is a hot topic in the field of intelligent，it has been successfully applied to the field of signal processing, pattern recognition, machine control, expert systems, etc. In the neural network technology, BP neural network due to having a structure learning algorithm and simple, it is widespread concern in recent years, related technologies have been forecasting, classification and other areas of industrialization. In this paper, a function for fitting the classic problems with BP neural network as a tool to seek to analyze the number of BP neural network hidden layer neuron impact on network performance and function fitting effect. Matlab simulation results show that, BP neural network as an efficient computational intelligence tools, is an effective tool to achieve complex function fitting

[Keywords] Artificial neural networks; BP neural network; Function fitting

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