动态全参数自调整BP神经网络模型的改进

Abstract

Abstract: In accordance with the shortcoming that BP neural network exists,there are many kinds of improvement methods.This paper has carried on the synthetical improvement at the aspect of algorithm and the network structure design on the foundation of document^[3] work.It not only improves the rate of studying but also improves the network structure,and increases the adaptive ability of BP neural network.Application to forecasting China’s energy consumption has acquired good impact.

Key words: artificial neural networks, BP algorithm, network structure, GMDH

CLC Number:

C931

LI Xiao-feng, XU Jiu-ping. The Improvement of Forecasting Model Based on BP Neural Network of Self-Adjusted All Parameters[J]. Chinese Journal of Management Science, 2004, (6): 68-72.

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The Improvement of Forecasting Model Based on BP Neural Network of Self-Adjusted All Parameters

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