Classification and Learning Using Genetic Algorithms Applications in Bioinformatics and Web Intelligence

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...

Full description

Bibliographic Details
Main Authors: Bandyopadhyay, Sanghamitra, Pal, Sankar Kumar (Author)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2007, 2007
Edition:1st ed. 2007
Series:Natural Computing Series
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
LEADER 02808nmm a2200409 u 4500
001 EB000377391
003 EBX01000000000000000230443
005 00000000000000.0
007 cr|||||||||||||||||||||
008 130626 ||| eng
020 |a 9783540496076 
100 1 |a Bandyopadhyay, Sanghamitra 
245 0 0 |a Classification and Learning Using Genetic Algorithms  |h Elektronische Ressource  |b Applications in Bioinformatics and Web Intelligence  |c by Sanghamitra Bandyopadhyay, Sankar Kumar Pal 
250 |a 1st ed. 2007 
260 |a Berlin, Heidelberg  |b Springer Berlin Heidelberg  |c 2007, 2007 
300 |a XVI, 311 p. 87 illus  |b online resource 
505 0 |a 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 
653 |a Complex Systems 
653 |a Bioinformatics 
653 |a Programming Techniques 
653 |a Computer programming 
653 |a Computational and Systems Biology 
653 |a Artificial Intelligence 
653 |a System theory 
653 |a Artificial intelligence 
653 |a Telecommunication 
653 |a Communications Engineering, Networks 
653 |a Automated Pattern Recognition 
653 |a Pattern recognition systems 
700 1 |a Pal, Sankar Kumar  |e [author] 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
490 0 |a Natural Computing Series 
028 5 0 |a 10.1007/3-540-49607-6 
856 4 0 |u https://doi.org/10.1007/3-540-49607-6?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 006.4 
520 |a 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-à-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