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.
| ISBN: | 9781138558885 |
| Publication date: | 25th January 2019 |
| Author: | Sankar K Indian Statistical Institute, Calcutta, India Indian Statistical Institute Indian Statistical Institute, Kolkat Pal |
| Publisher: | CRC Press an imprint of Taylor & Francis Ltd |
| Format: | Paperback |
| Pagination: | 336 pages |
| Series: | CRC Press Revivals |
| Genres: |
Information technology: general topics |
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.
Revival: Genetic Algorithms for Pattern Recognition (1986) features in the following genres: Information technology: general topics
Revival: Genetic Algorithms for Pattern Recognition (1986) is available in Paperback, Hardback
Revival: Genetic Algorithms for Pattern Recognition (1986) was written by Sankar K Indian Statistical Institute, Calcutta, India Indian Statistical Institute Indian Statistical Institute, Kolkat Pal and published by CRC Press an imprint of Taylor & Francis Ltd
Revival: Genetic Algorithms for Pattern Recognition (1986) has 336 pages
Yes it is part of CRC Press Revivals series
£62.09