计算机工程与应用2011，Vol.47Issue(29)：52-55,4.DOI:10.3778/j.issn.1002-8331.2011.29.015
遗传算法优化BP神经网络的混沌时间序列预测
ZHANG Mingrui.Prediction method for chaotic time series of optimized BP neural network based on genetic algorithm
摘要
Abstract
In order to improve forecasting model precision of BP neural network for chaotic time series,an improved prediction mothod for chaotic time series of optimized BP neural network based on modified genetic algorithm is presented.The modified genetic algorithm is used to optimize the weights and thresholds of BP neural network, and then BP neural network is trained to search for the optimal solution.The availability of this prediction method is proved by predicting chaotic time series of several typical nonlinear systems.Compared with the forecasting results of BP neural network, the computer simulations have shown that the nonlinear fitting and precision of this prediction model are better than those of BP prediction model.关键词
混沌理论/预测/反向传播(BP)神经网络/遗传算法Key words
chaos theory/ prediction/ Back Propagation (BP) neural network/ genetic algorithm分类
信息技术与安全科学引用本文复制引用
李松,罗勇,张铭锐..遗传算法优化BP神经网络的混沌时间序列预测[J].计算机工程与应用,2011,47(29):52-55,4.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.50478088) （the National Natural Science Foundation of China under Grant No.50478088）
河北省高等学校人文社会科学研究重点项目(No.SKZD2011106). （No.SKZD2011106）
