Support vector machine in chemistry /

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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 perf...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Chen, Nianyi
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore ; Hackensack, NJ : World Scientific Pub., ©2004.
Temas:
Machine learning.
Algorithms.
Kernel functions.
Computer algorithms.
Apprentissage automatique.
Algorithmes.
Noyaux (Mathématiques)
algorithms.
COMPUTERS > Enterprise Applications > Business Intelligence Tools.
COMPUTERS > Intelligence (AI) & Semantics.
Computer algorithms
Algorithms
Kernel functions
Machine learning
Acceso en línea:Texto completo
Descripción
Sumario: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.
Descripción Física:1 online resource (x, 331 pages) : illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:9789812794710
9812794719
1281934607
9781281934604

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