Support Vector Machine in Chemistry

SUPPORT VECTOR MACHINE IN CHEMISTRY book cover

SUPPORT VECTOR MACHINE IN CHEMISTRY

Author(s): Nianyi Chen (Author), Wencong Lu (Author), Jie Yang (Author), Guozheng Li (Author)

  • Publisher: ‎ World Scientific Publishing Company
  • Publication Date: ‎ August 25, 2004
  • Language: ‎ English
  • Print length: ‎ 344 pages
  • ISBN-10: ‎ 9812389229
  • ISBN-13: ‎ 978-9812389220

Book Description

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.

Amazon Page

代发服务PDF电子书30立即求助
1111
打赏
未经允许不得转载:Wow! eBook » Support Vector Machine in Chemistry

觉得文章有用就打赏一下文章作者

支付宝扫一扫

微信扫一扫