论文信息 - Approximation Performance of BP Neural Networks Improved by Heuristic Approach

Approximation Performance of BP Neural Networks Improved by Heuristic Approach

Among all improved BP neural network algorithms, the one improved by heuristic approach is studied in this paper. Firstly, three types of improved heuristic algorithms of BP neural network are programmed in the environment of MATLAB7.0. Then network training and simulation test are conducted taking a nonlinear function as an example. The approximation performances of BP neural networks improved by different numerical optimization approaches are compared to aid the selection of proper numerical optimization approach.

Shuo Ding | Xiao Heng Chang | Qing Hui Wu

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