A principal components analysis serf-organizing neural network model and computational experiment

摘要：

　　We propose a new self-organizing neural model that performs principal components analysis.It is also related to the adaptive subspace self-organizing map (ASSOM) network,but its training equations are simpler.Experimental results are reported,which show that the new model has better performance than the ASSOM network.

关键词： Self-organization Principal component analysis Competitive learning Pattern recognition

作者: Jifu Nong

作者单位: College of Science Guangxi University for Nationalities Nanning, China

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer and Information Applications(ICCIA2012)(2012第二届计算机和信息应用国际会议)

会议地点: 太原

会议语种:英文

页码: 859-862

在线出版日期: 2012-12-08（万方平台首次上网日期，不代表论文的发表时间）