Revival: Genetic Algorithms for Pattern Recognition (1986)

Author:   Sankar K. Pal ,  Paul P. Wang (Duke University, Durham, North Carolina, USA)
Publisher:   Taylor & Francis Ltd
ISBN:  

9781138558885


Pages:   336
Publication Date:   25 January 2019
Format:   Paperback
Availability:   Not yet available   Availability explained
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Revival: Genetic Algorithms for Pattern Recognition (1986)


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Overview

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.

Full Product Details

Author:   Sankar K. Pal ,  Paul P. Wang (Duke University, Durham, North Carolina, USA)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.620kg
ISBN:  

9781138558885


ISBN 10:   1138558885
Pages:   336
Publication Date:   25 January 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

Fitness Evaluation in Genetic Algorithms with Ancestors' Influence, S. De, A. Ghosh, and S.K. Pal The Walsh Transform and the Theory of the Simple Genetic Algorithm, M.D. Vose and A.H. Wright Adaptation in Genetic Algorithms, L.M. Patnaik and M. Srinivas An Empirical Evaluation of Genetic Algorithms on Noisy Objective Functions, K. Mathias, D. Whitley, A. Kusuma, and C. Stork Generalization of Heuristics Learned in Genetics-Based Learning, B.W. Wah, A. Ieumwananonthachai, and Y.-C. Li Genetic Algorithm-Based Pattern Classification: Relationship with Bayes Classifier, C.A. Murthy, S. Bandyopadhyay, and S.K. Pal Genetic Algorithms and Recognition Problems, H. Van Hove and A. Verschoren Mesoscale Feature Labeling from Satellite Images, B.P. Buckles, F.E. Petry, D. Prabhu, and M. Lybanon Learning to Learn with Evolutionary Growth Perceptrons, S.G. Romaniuk Genetic Programming of Logic-Based Neural Networks, V.C. Gaudet Construction of Fuzzy Classification Systems with Linguistic If-Then Rules Using Genetic Algorithms, H. Ishibuchik, T. Murata, and H. Tanaka A Genetic Algorithm Method for Optimizing the Fuzzy Component of a Fuzzy Decision Tree, C.Z. Janikow Genetic Design of Fuzzy Controllers, M.G. Cooper and J.J. Vidal Index

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Author Information

Sankar Kumar Pal is a Distinguished Scientist and former Director of the Indian Statistical Institute, Kolkata, India. He is a computer scientist with an international reputation on fuzzy neural network, soft computing, and machine intelligence. He founded the Machine Intelligence Unit in 1993, and the Center for Soft Computing Research: A National Facility in 2004, both at the ISI. He is the founder President of the Indian National Academy of Engineering, Kolkata Chapter

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