Neural Networks Preprocessing Based Adaptive Estimation of Evoked Potentials

摘要：

Independent component analysis (ICA) is a new powerful tool for blind source separation. This paper proposes a new algorithm that combines two existent algorithms, the improved infomax algorithm and the fastICA algorithm. Utilizing the initial weights obtained by the improved infomax algorithm, we can not only reduce the length of data which fastICA algorithm needs, but also enhance the convergence stability of fastICA algorithm. The effectiveness of the algorithm is verified by computer simulations.

关键词： evoked potentials neural network independent component analysis

作者: Daifeng Zha

作者单位: College of Electronic Engineering Jiujiang University Jiujiang, P.R.china

会议类型: 国际会议

会议名称: The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

会议地点: 上海

会议语种:英文

页码: 2206-2208

在线出版日期: 2008-05-16（万方平台首次上网日期，不代表论文的发表时间）