Data & IT

Support Vector Machine In Chemistry

Nianyi Chen • Wencong Lu • Jie Yang • Guozheng Li

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344 sidor
2004

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.

Författare: Nianyi Chen, Wencong Lu, Jie Yang, Guozheng Li
Format: Inbunden
ISBN: 9789812389220
Språk: Engelska
Antal sidor: 344
Utgivningsdatum: 2004-08-01
Förlag: World Scientific Publishing Co Pte Ltd