Alcohols＇ Classification by Infrared Spectra Segment Based on Support Vector Machines  

作　　者：Wei XIE Fu Sheng NIE Meng Long LI Guang Ming LI Min Chun LU 

机构地区：[1]College of Chemistry, Sichuan University, Chengdu 610064

出　　处：《Chinese Chemical Letters》2006年第7期929-932,共4页中国化学快报（英文版）

基　　金：This work is partially supported by the National Natural Science Foundation of China （No 29877016）.

摘　　要：This paper studies various classifiers to identify primary, secondary or tertiary alcohols by using segmental spectra and their combinations to support vector machines （SVMs）. The results showed that the O-H in-plane bending absorption contributed most to identification their substitute. This conclusion disagrees with related known research results.This paper studies various classifiers to identify primary, secondary or tertiary alcohols by using segmental spectra and their combinations to support vector machines （SVMs）. The results showed that the O-H in-plane bending absorption contributed most to identification their substitute. This conclusion disagrees with related known research results.

关 键 词：Infrared spectra ALCOHOLS support vector machine information extraction. 

分 类 号：O623.411[理学—有机化学]