Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

DPD courier 4.99 € GLS courier 9.99 €

Contact

How to shop

Help

My account

▸ Empty :-(

Support Vector Machine In Chemistry

Name: Support Vector Machine In Chemistry
Brand: World Scientific Publishing Co Pte Ltd
SKU: 05067819
Price: 147.74 EUR
Availability: InStock
Author: Nianyi Chen
ISBN: 9789812389220

Language

English

Book Hardback

Libristo code: 05067819

Publishers World Scientific Publishing Co Pte Ltd, June 2004

In recent years, the support vector machine (SVM), a new data processing method, has been applied to... Full description

Libristo code: 05067819

359 b

147.74 €

50 % chance We search the world When will I receive my book?

Up to 30 days for returns

Customers also purchased

PAPA GORIOT DE BALZAC

Paperback

23.47 €

El trabajo colaborativo en la optimización de la gestión operativa Luz Dominga Blanco Bautista

Paperback

54.11 €

Rainer Maria Rilke Lou Andreas-Salomé

Hardback

11.98 €

Java Concurrency на практике Джозеф Боубер

Paperback

34.66 €

KOREAN PICTURE DICTIONARY WORKBOOK +CD (EN COREEN) Book

Paperback

33.05 €

Mots cles pour reussir ses dictees Delafosse

Paperback

8.86 €

Der Bestrafte Wustling Oder Don Juan: Heiteres Drama In Zwei Alten (1897) Lorenzo Da Ponte

Paperback

21.15 €

ATLAS DEL BIEN Y DEL MAL Tsevan Rabtan

Paperback

27.81 €

Familias criollas y la configuración del poder Carolina Muñoz

Paperback

31.94 €

Ernst Voß Georg Asmussen

Paperback

16.92 €

Los Amores de Lily = Love According to Lily Julianne MacLean

Paperback

7.85 €

Nagie Fakty McDowell i Erin Davis Josh

Paperback

6.04 €

Komplexität Gernot Ernst

Paperback

15.81 €

Vermoegens-Controlling Robert Reuter

Paperback

9.06 €

Zur Beziehung zwischen Ritualen und Selbstmordterrorismus Romy-Laura Reiners

Paperback

15.21 €

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.