Support Vector Machine in Chemistry (Hardcover) (ISBN-13: 9789812389220)

In recent years, the support vector machine (SVM), a new data processing method, has been applied to many fields of chemistry and chemical technology. Compared with some other data processing methods, SVM is especially suitable for solving problems of small sample size, with superior prediction performance. SVM is fast becoming a powerful tool of chemometrics. This book provides a systematic approach to the principles and algorithms of SVM, and demonstrates the application examples of SVM in QSAR/QSPR work, materials and experimental design, phase diagram prediction, modeling for the optimal control of chemical industry, and other branches in chemistry and chemical technology.

Author: Nianyi Chen,Wencong Lu,Jie Yang
ISBN-10: 9812389229
ISBN-13: 9789812389220
Publisher: World Scientific Publishing Company
Language: English
Published: 08/25/2004
Pages: 344
Format: Hardcover
Weight: 1.30lbs
Size: 8.90h x 6.20w x 0.90d