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Classification and Learning Using Genetic Algorithms: Applications in Bioinformatics and Web Intelligence (Natural Computing Series) - Hardcover
Synopsis
This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. It provides a balanced mixture of theories, algorithms and applications, and in particular results from the bioinformatics and Web intelligence domains. The book will be useful to graduate students and researchers in computer science, electrical engineering, systems science, and information technology, both as a text and reference book. Researchers and practitioners in industry working in system design, control, pattern recognition, data mining, soft computing, bioinformatics and Web intelligence will also benefit.
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From the Back Cover
This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. The book is unique in the sense of describing how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries, and it demonstrates the effectiveness of the genetic classifiers vis-à-vis several widely used classifiers, including neural networks. It provides a balanced mixture of theories, algorithms and applications, and in particular results from the bioinformatics and Web intelligence domains.
This book will be useful to graduate students and researchers in computer science, electrical engineering, systems science, and information technology, both as a text and reference book. Researchers and practitioners in industry working in system design, control, pattern recognition, data mining, soft computing, bioinformatics and Web intelligence will also benefit.
"About this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date2007
- ISBN 10 3540496068
- ISBN 13 9783540496069
- BindingHardcover
- LanguageEnglish
- Number of pages327
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Classification and Learning Using Genetic Algorithms : Applications in Bioinformatics and Web Intelligence
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Springer Berlin Heidelberg, 2007
ISBN 10: 3540496068
ISBN 13: 9783540496069
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Classification and Learning Using Genetic Algorithms: Applications in Bioinformatics and Web Intelligence
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ISBN 10: 3540496068
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Classification and Learning Using Genetic Algorithms: Applications in Bioinformatics and Web Intelligence (Natural Computing Series)
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Classification and Learning Using Genetic Algorithms: Applications in Bioinformatics and Web Intelligence (Natural Computing Series)
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Classification and Learning Using Genetic Algorithms
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Springer Berlin Heidelberg Apr 2007, 2007
ISBN 10: 3540496068
ISBN 13: 9783540496069
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. It examines how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries. Coverage also demonstrates the effectiveness of the genetic classifiers vis-à-vis several widely used classifiers, including neural networks. 332 pp. Englisch. Seller Inventory # 9783540496069
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Classification and Learning Using Genetic Algorithms : Applications in Bioinformatics and Web Intelligence
Published by
Springer Berlin Heidelberg, 2007
ISBN 10: 3540496068
ISBN 13: 9783540496069
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. The book is unique in the sense of describing how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries, and it demonstrates the effectiveness of the genetic classifiers vis-à-vis several widely used classifiers, including neural networks. It provides a balanced mixture of theories, algorithms and applications, and in particular results from the bioinformatics and Web intelligence domains.This book will be useful to graduate students and researchers in computer science, electrical engineering, systems science, and information technology, both as a text and reference book. Researchers and practitioners in industry working in system design, control, pattern recognition, data mining, soft computing, bioinformatics and Web intelligence will also benefit. Seller Inventory # 9783540496069
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Classification and Learning Using Genetic Algorithms
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ISBN 10: 3540496068
ISBN 13: 9783540496069
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First book to provide a unified framework that describes how genetic learning can be used to design pattern recognition systems This book provides a unified framework that describes how genetic learning can be used to design pattern recognitio. Seller Inventory # 4891366
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Classification and Learning Using Genetic Algorithms
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ISBN 10: 3540496068
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Buch. Condition: Neu. Neuware -This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. It examines how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries. Coverage also demonstrates the effectiveness of the genetic classifiers vis-à-vis several widely used classifiers, including neural networks.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 332 pp. Englisch. Seller Inventory # 9783540496069
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Classification and Learning Using Genetic Algorithms: Applications in Bioinformatics and Web Intelligence
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Classification and Learning Using Genetic Algorithms: Applications in Bioinformatics and Web Intelligence (Natural Computing Series)
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