计算物理 ›› 2007, Vol. 24 ›› Issue (5): 612-618.
• 研究论文 • 上一篇 下一篇
王兴元, 谭贵霖
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WANG Xingyuan, TAN Guilin
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摘要: 分析Liley模型的模拟脑电(Electroencephalogram,EEG)信号的非线性预测和径向基函数(Radial Basis Functions,RBF)神经网络预测,利用相图分析和非线性正交预测(Nonlinear Cross-Prediction,NLCP)方法研究模拟EEG信号.结果发现:①RBF神经网络预测的效果要好于非线性预测;②NLCP方法对含有强周期分量的高维系统具有较好的适用性;③支持了EEG中存在混沌运动的观点.
关键词: Liley模型, 脑电, 非线性正交预测, 径向基函数神经网络预测, 混沌
Abstract: Nonlinear prediction and RBF (Radial Basis Functions) neural network prediction of EEG(Electroencephalogram) signal in a Liley model are studied by phase graph and NLCP (Nonlinear Cross-Prediction).It concluded that:1) RBF neural network prediction is better than nonlinear prediction;2) NLCP method is adaptive to time series with strong periodic components;3) support the exist of chaos in EEG signals.
Key words: Liley model, Electroencephalogram, Nonlinear Cross-Predication, Radial Basis Functions neural network prediction, chaos
中图分类号:
O424
王兴元, 谭贵霖. Liley模型的模拟EEG信号的非线性预测和分析[J]. 计算物理, 2007, 24(5): 612-618.
WANG Xingyuan, TAN Guilin. Nonlinear Prediction and Analysis of EEG in a Liley Model[J]. CHINESE JOURNAL OF COMPUTATIONAL PHYSICS, 2007, 24(5): 612-618.
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http://www.cjcp.org.cn/CN/Y2007/V24/I5/612