支持向量机算法和软件ChemSVM介绍（Support vector machine algorithm and software ChemSVM introduction）.doc

支持向量机算法和软件ChemSVM介绍（Support vector machine algorithm and software ChemSVM introduction） This article is contributed by longer1110 Doc documents may have a poor browsing experience at the WAP end. It is recommended that you choose TXT, or download the source file to the native view. Support vector machine algorithm and software ChemSVM introduction Chen-zhou ye nian-yi Chen wen-cong lu 1, 1, 2, 2 guo-zheng li (1. The chemistry department of Shanghai university computer laboratory, Shanghai, 200436) (2. Institute of Shanghai jiao tong university image and pattern recognition, Shanghai, 200030). The statistical learning theory (SLT) and support vector machine are proposed by Vladimir n. Vapnik The support vector machine (SVM) algorithm has achieved encouraging research results. This paper aims at introducing the principle of this new theory and new algorithm, and prospected the application prospect of this new work in the field of chemical chemistry. The ChemSVM software provides the support vector machine algorithm and integrates it organically with database, knowledge base, atomic parameters and other data mining methods. Keyword pattern recognition; Support vector machines; Support vector classification; Support vector regression classification number: middle map classification no. : 06-04 Introduction to the Algorithm of Support Vector Machine and the Software ChemSVM LU wen-cong1, CHEN Nian - yi1, YE chen-zhou2, LI guo-zheng2 (1. Laboratory of Chemical Data Mining, Department of Chemistry, Shanghai University, Shanghai, 200436, China) (2. Institute of Image and Pattern Recognition, Jiaotong University, Shanghai, 200030, China) Abstracts: The great achievements have been approached in the development of statistical learning theory (STL) and support vector machine (SVM) as well as kernel techniques. This paper aimed at introducing the principle of SLT and SVM algorithm and prospecting their applications in the fields of chemistry and chemical industry.. Key Words: S