Isbn: 9783540496069 - classification and learning using genetic algorithms: applications in bioinformatics and web intelligence (15 risultati)

Condizione: New.

Condizione: New. In English.

Condizione: New.

Condizione: New. pp. 332, Maps.

Buch. Condizione: 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. 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.…

Hardcover. Condizione: Brand New. 1st edition. 311 pages. 9.25x6.00x0.75 inches. In Stock.

Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 332 | Sprache: Englisch | Produktart: Bücher | 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.…

Condizione: As New. Unread book in perfect condition.

Hardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condizione: As New. Unread book in perfect condition.

Buch. Condizione: 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.…

Condizione: 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.…

Condizione: New. Print on Demand pp. 332 87 Illus., Maps.

Condizione: New. PRINT ON DEMAND pp. 332.

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 332 pp. Englisch. …