基于模糊神经网络的肌电信号的分析

EMG Signal Analysis Based on Fuggy and Neural Network

探讨一种模糊神经网络的肌电信号识别方法。采用γ模型网络对假肢的肌电信号进行学习并与聚类分析方法比较，结果表明识别率达到较好的水平。

Recognizing methods of EMG signal based on the fuzzy and neural network,applying to a model network is trained for EMG signal of artificallimbs.comprared with assemble category analysis.The results demonstrated that identification rate is being the better.