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عنوان
Classification and learning using genetic algorithms

پدید آورنده
Sanghamitra Bandyopadhyay, Sankar K. Pal,Title

موضوع
#Q327.B36 2007,Pattern perception,Machine learning,Genetic algorithms,Automatic classification,Perception des structures,Apprentissage automatique,Algorithmes gaenaetiques,Classification automatique

رده
EBOOK
,
Q
.
B36
327
2007

کتابخانه
Central Library of Imam Khomeini International University of Qazvin

محل استقرار
استان: Qazvin ـ شهر: Qazvin

Central Library of Imam Khomeini International University of Qazvin

تماس با کتابخانه : 33780050-028

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
9783540496069 )hdbk. : acid-free paper(

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Classification and learning using genetic algorithms
First Statement of Responsibility
Sanghamitra Bandyopadhyay, Sankar K. Pal

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Berlin ;New York
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
c2007

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
xv, 311 p. : ill., maps .

SERIES

Series Title
Natural computing series,1619-7127
Series Title
Series: Natural computing series.1619-7127

CONTENTS NOTE

Text of Note
Introduction -- 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 bioinformatics -- Genetic algorithms and web intelligence.
Text of Note
"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-a-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."--BOOK JACKET.

SUMMARY OR ABSTRACT

Text of Note
Includes bibliographical references )p. ]277[-307( and index.

OTHER VARIANT TITLES

Variant Title
applications in bioinformatics and web intelligence

TOPICAL NAME USED AS SUBJECT

#Q327.B36 2007
Entry Element
Pattern perception
Entry Element
Machine learning
Entry Element
Genetic algorithms
Entry Element
Automatic classification
Entry Element
Perception des structures
Entry Element
Apprentissage automatique
Entry Element
Algorithmes gaenaetiques
Entry Element
Classification automatique

LIBRARY OF CONGRESS CLASSIFICATION

Class number
EBOOK
,
Q
Classification Record Number
327
Book number
.
B36
2007

PERSONAL NAME - PRIMARY RESPONSIBILITY

Entry Element
Bandyopadhyay, Sanghamitra 1968
Entry Element
Title

Pal, Sankar K

English Book

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