Bandyopadhyay / Pal Classification and Learning Using Genetic Algorithms
1. Auflage 2007
ISBN: 978-3-540-49607-6
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
Applications in Bioinformatics and Web Intelligence
E-Book, Englisch, 311 Seiten, Web PDF
Reihe: Computer Science
ISBN: 978-3-540-49607-6
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Genetic Algorithms.- Supervised Classification Using Genetic Algorithms.- Theoretical Analysis of the GA-classifier.- Variable String Lengths in GA-classifier.- Chromosome Differentiation in VGA-classifier.- Multiobjective VGA-classifier and Quantitative Indices.- Genetic Algorithms in Clustering.- Genetic Learning in Bioinformatics.- Genetic Algorithms and Web Intelligence.
