| 应用Elman神经网络的混沌时间序列预测 |
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| 引用本文： | 张兴会,刘玲,陈增强,袁著祉. 应用Elman神经网络的混沌时间序列预测[J]. 华东理工大学学报(自然科学版), 2002, 0(Z1) |
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| 作者姓名： | 张兴会 刘玲 陈增强 袁著祉 |
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| 作者单位： | 天津技术师范学院计算机系 天津300222(张兴会，刘玲)，南开大学自动化系 天津300071(陈增强)，南开大学自动化系 天津300071(袁著祉) |
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| 摘 要： | 利用改进的 Elman神经网络对 3个典型的混沌时间序列在不同的噪声水平下进行预测 ,探讨了神经网络学习与泛化之间的关系 ,通过试凑法给出了 Elman最优的隐节点个数。并利用3种指标对预测结果进行了评估 ,结果显示 Elman网络对混沌时间序列预测的良好特性
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| 关 键 词： | 沌时间序列 预测 改进型Elman神经网络 径向基函数神经网络 |
Prediction of Chaos Time Series Using Elman Neural Networks |
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| ZHANG Xing hui ,LIU Ling ,CHEN Zeng qiang ,YUAN Zhu zhi. Prediction of Chaos Time Series Using Elman Neural Networks[J]. Journal of East China University of Science and Technology, 2002, 0(Z1) |
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| Authors: | ZHANG Xing hui LIU Ling CHEN Zeng qiang YUAN Zhu zhi |
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| Affiliation: | ZHANG Xing hui 1*,LIU Ling 1,CHEN Zeng qiang 2,YUAN Zhu zhi 2 |
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| Abstract: | This paper uses the improved Elman neural networks to predict three typical chaos time series under different noise conditions. It also discusses the relationship between learning and generalization of the neural networks and gives the optimal number of Elman's hidden layer units. In addition, the prediction results are evaluated by three targets which show the perfect performance of Elman networks in the prediction of the chaos time series. |
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| Keywords: | chaos time series prediction improved Elman neural network radial basis function neural network |
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