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Download Support Vector Machine In Chemistry by Nianyi Chen, Wencong Lu, Jie Yang, Guozheng Li in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Support Vector Machine In Chemistry
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.
Detailed Information
| Author: | Nianyi Chen, Wencong Lu, Jie Yang, Guozheng Li |
|---|---|
| Publication Year: | 2004 |
| ISBN: | 9812389229 |
| Pages: | 343 |
| Language: | English |
| File Size: | 11.831 |
| Format: | |
| Price: | FREE |
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