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《Journal of Guangdong University of Technology》 2004-04
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Application Research of Evoked Potential Signal Classification Based on RBF Neural Networks

ZHANG Lie-ping ~(1),ZHANG Yu-wei~(2),MO Wei ~(3) (1. Dept. Electronics and Computer, Guilin Institute of Technology, Guilin 541004,China; 2. Zhongxing Telecom Ltd. , Shenzhen 518004,China; 3.China Electromics Standardization Institute,Beijing100007,China)  
A feature extraction method to evoked potential signal based on RBF networks'weights is presented in this paper, through the analysis of evoked potential signal.The features extracted from signals are classified with a BP neural network for classifying evoked potential signals. Experimental simulation results show that the method is effective.
【Fund】: 国家自然科学基金资助项目(69871010);; 桂林工学院青年扶持基金资助(2003)
【CateGory Index】: TP183
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