
Genetic Algorithms for Pattern Recognition
CRC Press
1st Edition
Published on 20. September 2017
Book
Hardback
336 pages
978-1-138-10557-7 (ISBN)
Description
Solving pattern recognition problems involves an enormous amount of computational effort. By applying genetic algorithms - a computational method based on the way chromosomes in DNA recombine - these problems are more efficiently and more accurately solved. Genetic Algorithms for Pattern Recognition covers a broad range of applications in science and technology, describing the integration of genetic algorithms in pattern recognition and machine learning problems to build intelligent recognition systems.
The articles, written by leading experts from around the world, accomplish several objectives: they provide insight into the theory of genetic algorithms; they develop pattern recognition theory in light of genetic algorithms; and they illustrate applications in artificial neural networks and fuzzy logic. The cross-sectional view of current research presented in Genetic Algorithms for Pattern Recognition makes it a unique text, ideal for graduate students and researchers.
The articles, written by leading experts from around the world, accomplish several objectives: they provide insight into the theory of genetic algorithms; they develop pattern recognition theory in light of genetic algorithms; and they illustrate applications in artificial neural networks and fuzzy logic. The cross-sectional view of current research presented in Genetic Algorithms for Pattern Recognition makes it a unique text, ideal for graduate students and researchers.
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Professional
Illustrations
35 s/w Tabellen
35 Tables, black and white
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 23 mm
Weight
672 gr
ISBN-13
978-1-138-10557-7 (9781138105577)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Sankar K. Pal | Paul P. Wang
Genetic Algorithms for Pattern Recognition
Book
01/2019
1st Edition
CRC Press
€94.90
Shipment within 10-20 days

Sankar K. Pal | Paul P. Wang
Genetic Algorithms for Pattern Recognition
E-Book
11/2017
CRC Press
€86.99
Available for download

Sankar K. Pal | Paul P. Wang
Genetic Algorithms for Pattern Recognition
E-Book
11/2017
CRC Press
€86.99
Available for download
Persons
Sankar K. Pal, Paul P. Wang
Content
1.Fitness Evaluation in Genetic Algorithms with Ancestors' Influence 2. The Walsh Transform and the Theory of the Simple Genetic Algorithm 3. Adaptation in Genetic Algorithms 4. An Empirical Evaluation of Genetic Algorithms on Noisy Objective Functions 5. Generalization of Heuristics Learned in Genetics-Based Learning 6. Genetic Algorithm-Based Pattern Classification: Relationship with Bayes Classifier 7. Genetic Algorithms and Recognition Problems 8. Mesoscale Feature Labeling from Satellite Images 9. Learning to Learn with Evolutionary Growth Perceptrons 10. Genetic Programming of Logic-Based Neural Networks 11. Construction of Fuzzy Classification Systems with Linguistic If-Then Rules Using Genetic Algorithms 12. A Genetic Algorithm Method for Optimizing the Fuzzy Component of a Fuzzy Decision Tree 13. Genetic Design of Fuzzy Controllers. Index.