Matrix Similarity Measurement Used in A GA-Based Feature Extraction

摘要：

A GA-based feature extraction method was presented for solving non-linear regression questions. The order of regression function is determined by practical experience, so the application of this method is limited.In this paper, the angle measurement method of matrix similarity was used to determine the order of the polynomial space.By doing this,theGA-based feature extraction method became more practical. An explicit non-linear regress function can be very easy to find. The experiment shows that it achieved satisfactory results.

关键词： Feature Extraction Support Vector Regression Genetic Algorithm Angle Measurement Matrix Similarity

作者: Yu Zhefu Lu Huibiao Jia Chuanying

作者单位: Dalian Maritime University, Dalian, Liaoning ,116026,China Dalian Maritime University, Dalian, Liaoning,116026,China

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 1803-1805

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）