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Support Vector Machine In Chemistry

Support Vector Machine In Chemistry

Support Vector Machine In Chemistry
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Support Vector Machine In Chemistry Hardback - 2004

by Nianyi Chen/ Wencong Lu/ Jie Yang/ Guozheng Li

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World Scientific Pub Co Inc, 2004. Hardcover. New. 331 pages. 9.00x6.25x1.00 inches.
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Details

  • Title Support Vector Machine In Chemistry
  • Author Nianyi Chen/ Wencong Lu/ Jie Yang/ Guozheng Li
  • Binding Hardback
  • Edition First Edition.
  • Condition New
  • Pages 344
  • Volumes 1
  • Language ENG
  • Publisher World Scientific Pub Co Inc, NJ
  • Publication date 2004
  • Bookseller's Inventory # __9812389229
  • ISBN 9789812389220 / 9812389229
  • Weight 1.3 lbs (0.59 kg)
  • Dimensions 8.9 x 6.2 x 0.9 in (22.61 x 15.75 x 2.29 cm)
  • Category Science
  • Dewey Decimal Code 542.85
  • Quantity available 1

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From the publisher

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.

First line

Carrying out experimental work, finding the regularities of the data obtained, and making prediction for some unknown phenomena, are the chief mode of the research work in the fields of chemistry and related disciplines, including chemical engineering, materials science and environmental science.

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