Based on Probabilistic neural network of human multi-channel semg pattern recognition

摘要：

Firsth,using the models of the fractal characteristics,calculating the two-dimensional spatial information entropy as reflected the muscles of the measuring unit of motion information.Then input the information entropy to the trained probability RBF to be classified.Experimental results show-that this method is an effective muscle signal pattern recognition method.

关键词： semg information entropy Probability RBF neural network

作者: Chunmei Du Changming Dai

作者单位: Hebei institute of Architecture Civil Engineering Department of computer,zhang jia kou,China Hebei institute of Architecture Civil Engineering Educational administration division zhang jia kou,

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 489-491

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）