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Book Synopsis
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.

Support Vector Machine In Chemistry

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A Hardback by Nianyi Chen, Wencong Lu, Jie Yang

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    View other formats and editions of Support Vector Machine In Chemistry by Nianyi Chen

    Publisher: World Scientific Publishing Co Pte Ltd
    Publication Date: 25/08/2004
    ISBN13: 9789812389220, 978-9812389220
    ISBN10: 9812389229
    Also in:
    Machine learning

    Description

    Book Synopsis
    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.

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