Genetic algorithms for pattern recognition /
"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 Recog...
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Boca Raton, FL :
CRC Press,
2017.
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| Edition: | First edition. |
| Series: | CRC Press Revivals
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | "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."--Provided by publisher |
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| Physical Description: | 1 online resource (xx, 314 pages) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9780203713402 0203713400 9781351364492 1351364499 9781351364485 1351364480 9781351364478 1351364472 |