E-Book, Englisch, 311 Seiten, eBook
Reihe: Natural Computing Series
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, eBook
Reihe: Natural Computing Series
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 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.
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.
