| 混沌时间序列混合预测方法探索 |
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| 引用本文： | 吕瑞华,王卫亚,Lü Rui-hu,WANG Wei-ya. 混沌时间序列混合预测方法探索[J]. 中国软科学, 2006, 0(2): 150-154 |
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| 作者姓名： | 吕瑞华 王卫亚 Lü Rui-hu WANG Wei-ya |
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| 作者单位： | 河北经贸大学,河北,石家庄,050091 |
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| 摘 要： | 根据Kolmogorov连续性定理,本文建立了混沌—神经网络(C-ANN)预测模型;提出了基于遗传算法和神经网络的混沌预测模型与方法(C-ANN-GA混合预测方法);解决了混沌时间序列的非解析式预测问题;使混沌时间序列预测方法得到了新的改进和发展。
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| 关 键 词： | 复杂系统 遗传算法 神经网络 混沌预测 |
| 文章编号： | 1002-9753(2006)01-0150-05 |
| 收稿时间： | 2005-10-30 |
| 修稿时间： | 2006-02-17 |
Research on the Mixed Forecasting Methods of Chaotic Time Series |
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| WANG Wei-ya. Research on the Mixed Forecasting Methods of Chaotic Time Series[J]. China Soft Science, 2006, 0(2): 150-154 |
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| Authors: | WANG Wei-ya |
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| Affiliation: | Hebei University of Economics and Trade, Shijiazhuang 050091, China |
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| Abstract: | The C-ANN(chaotic artificial neural networks) forecasting model is set up based on Kolmogorov continuity theoremin the paper.The C-ANN-GA(chaotic artificial neural networks genetic algorithms) methods are put forwardto solve the forecasting problem of chaotic time series non-analytic arithmetic formula,so that the forecasting methods of chaotic time series are new developed. |
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| Keywords: | complex system genetic algorithms artificial neural networks chaotic forecasting |
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