Drug Molecular Design Using Lie group Machine Learning(LML)

摘要：

To deal with the nonlinear data, the Lie group Machine Learning(LML) has proposed a new algebra and geometry reduction methods1. Aims at the basic structure of molecules, this paper applied the LML methods to drug molecular design. By using the structure of molecular, we can construct corresponding Lie group structure according to the observation data, and then embedded into high-level group as a sub-group. Experiment shows that this method has its superiority.

关键词： LML Drug Molecular Design Lie group

作者: Guan Wen-wen Li Fan-zhang

作者单位: School of Computer Science & Technology,Soochow University,Suzhou 215006,P.R.China

会议类型: 国际会议

会议名称: 2008高等智能国际会议(2008 International Conference on Advanced Intelligence)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-18（万方平台首次上网日期，不代表论文的发表时间）