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| 遗传算法优化BP 神经网络的短时交通流混沌预测 | |
| 引用本文： | 李松,刘力军,解永乐.遗传算法优化BP 神经网络的短时交通流混沌预测[J].控制与决策,2011,26(10):1581-1585. |
| 作者姓名： | 李松 刘力军 解永乐 |
| 作者单位： | 1. 河北大学管理学院,河北保定,071002 2. 河北经贸大学工商管理学院,石家庄,050061 |
| 基金项目： | 国家自然科学基金项目(50478088); 河北省高等学校人文社会科学研究重点项目(SKZD2011106) |
| 摘 要： | 为了提高BP神经网络预测模型对混沌时间序列的预测准确性,提出了一种基于遗传算法优化BP神经网络的改进混沌时间序列预测方法.利用遗传算法优化BP神经网络的权值和阈值,然后训练BP神经网络预测模型以求得最优解,并将该预测方法应用到几个典型混沌时间序列和实测短时交通流时间序列进行有效性验证.仿真结果表明,该方法对典型混沌时间序列和短时交通流具有较好的非线性拟合能力和更高的预测准确性. |
| 关 键 词： | 交通流预测 混沌理论 BP神经网络 遗传算法 |
| 收稿时间： | 2010/6/28 0:00:00 |
| 修稿时间： | 2010/9/25 0:00:00 |
Chaotic prediction for short-term traffic flow of optimized BP neural network based on genetic algorithma |
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| LI Song,LIU Li-jun,XIE Yong-le.Chaotic prediction for short-term traffic flow of optimized BP neural network based on genetic algorithma[J].Control and Decision,2011,26(10):1581-1585. |
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| Authors: | LI Song LIU Li-jun XIE Yong-le |
| Affiliation: | LI Song1,LIU Li-jun2,XIE Yong-le1(1.School of Management,Hebei University,Baoding 071002,China,2.School of Business Administration,Hebei University of Economics and Business,Shijiazhuang 050061,China) |
| Abstract: | In order to improve the prediction accuracy of BP neural network model for chaotic time series,a prediction method for chaotic time series of optimized BP neural network based on genetic algorithm(GA) is presented.The GA is used to optimize the weights and thresholds of BP neural network,and the BP neural network is trained to search for the optimal solution.The efficiency of the proposed prediction method is tested by the simulation of several typical nonlinear systems and time series of real traffic ?ow.T... |
| Keywords: | traffic ？ow prediction chaotic theory BP neural network genetic algorithm |
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