Nature-Inspired Methods in Chemometrics : Genetic Algorithms and Artificial Neural Networks
Language: English
Published by Elsevier BV Dez 2003, 2003
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 262.84
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Add to basketItem description from seller
Neuware - In recent years Genetic Algorithms (GA) and Artificial Neural Networks (ANN) have progressively increased in importance amongst the techniques routinely used in chemometrics. This book contains contributions from experts in the field is divided in two sections (GA and ANN). In each part, tutorial chapters are included in which the theoretical bases of each technique are expertly (but simply) described. These are followed by application chapters in which special emphasis will be given to the advantages of the application of GA or ANN to that specific problem, compared to classical techniques, and to the risks connected with its misuse. This book is of use to all those who are using or are interested in GA and ANN. Beginners can focus their attentions on the tutorials, whilst the most advanced readers will be more interested in looking at the applications of the techniques. It is also suitable as a reference book for students.
Seller Inventory # 9780444513502
- Title
- Nature-Inspired Methods in Chemometrics : Genetic Algorithms and Artificial Neural Networks
- Author
- Riccardo Leardi
- Publisher
- Elsevier BV Dez 2003
- Publication year
- 2003
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 0444513507
- ISBN 13
- 9780444513502
- Item weight
- 709 grams
- Dimensions
- 229x152x24 mm
This book is of use to all those who are using or are interested in GA and ANN. Beginners can focus their attentions on the tutorials, whilst the most advanced readers will be more interested in looking at the applications of the techniques. It is also suitable as a reference book for students.
- Subject matter is steadily increasing in importance
- Comparison of Genetic Algorithms (GA) and Artificial Neural Networks (ANN) with the classical techniques
- Suitable for both beginners and advanced researchers
"Synopsis" may belong to another edition of this title.
Review
"Overall, the reader is given an excellent introduction to GAs and their use in conjunction with other methods applied to several important problems. The applications chapters provide interesting examples and much information on how to configure GAs and ANNs." --CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, Vol. 72 (1) 2004
"Each part begins with a chapter that provides an excellent introduction to the technique. For persons who are involved in chemistry modeling, this would be a good book to own." --TECHNOMETRICS, Vol. 47, No. 1, 2005
"About the title" may belong to another edition of this title.
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