Classification and Learning Using Genetic Algorithms

Classification and Learning Using Genetic Algorithms
Author :
Publisher : Springer Science & Business Media
Total Pages : 320
Release :
ISBN-10 : 9783540496076
ISBN-13 : 3540496076
Rating : 4/5 (76 Downloads)

Book Synopsis Classification and Learning Using Genetic Algorithms by : Sanghamitra Bandyopadhyay

Download or read book Classification and Learning Using Genetic Algorithms written by Sanghamitra Bandyopadhyay and published by Springer Science & Business Media. This book was released on 2007-05-17 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Classification and Learning Using Genetic Algorithms Related Books

Classification and Learning Using Genetic Algorithms
Language: en
Pages: 320
Authors: Sanghamitra Bandyopadhyay
Categories: Computers
Type: BOOK - Published: 2007-05-17 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

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 sea
Genetic Programming for Image Classification
Language: en
Pages: 279
Authors: Ying Bi
Categories: Technology & Engineering
Type: BOOK - Published: 2021-02-08 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book offers several new GP approaches to feature learning for image classification. Image classification is an important task in computer vision and machin
Genetic and Evolutionary Computation--GECCO 2003
Language: en
Pages: 1294
Authors: Erick Cantú-Paz
Categories: Computers
Type: BOOK - Published: 2003-07-08 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

The set LNCS 2723 and LNCS 2724 constitutes the refereed proceedings of the Genetic and Evolutionaty Computation Conference, GECCO 2003, held in Chicago, IL, US
Rough Sets in Knowledge Discovery 2
Language: en
Pages: 616
Authors: Lech Polkowski
Categories: Business & Economics
Type: BOOK - Published: 1998-08-20 - Publisher: Boom Koninklijke Uitgevers

DOWNLOAD EBOOK

The ideas and techniques worked out in Rough Set Theory allow for knowledge reduction and to finding near - to - functional dependencies in data. This fact dete
Feature Extraction, Construction and Selection
Language: en
Pages: 418
Authors: Huan Liu
Categories: Computers
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

There is broad interest in feature extraction, construction, and selection among practitioners from statistics, pattern recognition, and data mining to machine