An Introduction to Berkeley UNIX: Applications and Programming

Paul P. Wang

Reference

International Thomson Publishing

<p>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. <br>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.</p>

Genetic Algorithms for Pattern Recognition

Computers & Technology

Sankar K. Pal

Computer Science

CRC-Press

Advances in Fuzzy Theory & Technology

Duke University

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Books by Paul P. Wang