| 基于遗传算法优化RBF网络的预测混沌时间序列 |
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| 引用本文： | 董钧祥,李勤.基于遗传算法优化RBF网络的预测混沌时间序列[J].科技通报,2012,28(8):66-68,71. |
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| 作者姓名： | 董钧祥 李勤 |
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| 作者单位： | 云南国土资源职业学院,昆明,650217 |
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| 基金项目： | 国家自然科学基金项目资助(09ZR1413000) |
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| 摘 要： | 提出用遗传算法优化径向基函数(RBF)神经网络,使其更接近非线性映射和更快的学习收敛速度.然后用改进后的RBF神经网络预测混沌时间序列.实验结果表明,基于RBF网络的混沌时间序列具有很强的拟合能力、误差小、取得更好的效果.
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| 关 键 词： | 混沌序列 RBF神经网络 遗传算法 |
Based on Genetic Algorithm Optimization RBF Neural Network for Predicting Chaotic Time Series |
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| DONG Junxiang
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LI Qin.Based on Genetic Algorithm Optimization RBF Neural Network for Predicting Chaotic Time Series[J].Bulletin of Science and Technology,2012,28(8):66-68,71. |
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| Authors: | DONG Junxiang LI Qin |
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| Institution: | (Yunnan State Land Resources Vocational College,Kunming 650217,China) |
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| Abstract: | This paper proposes a genetic algorithm with radial basis function neural network(RBF),making it closer to the nonlinear mapping and faster learning speed.Then the improved RBF neural network for predicting chaotic time series.The experimental results show that,chaotic time series based on RBF network has very strong capability of fitting,small error,to obtain a better effect. |
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| Keywords: | chaotic sequence RBF neural network genetic algorithm |
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