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Machine Learning Hybridization and Optimization for Intelligent Applications - Computational Intelligence Techniques
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Machine Learning Hybridization and Optimization for Intelligent Applications - Computational Intelligence Techniques
This book discusses state-of-the-art reviews of the existing machine-learning techniques and algorithms including hybridizations and optimizations. It is aimed at graduate students and researchers in machine learning, artificial intelligence, and electrical engineering.
384 pages, 81 Line drawings, black and white; 30 Halftones, black and white; 111 Illustrations, blac
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 28 de octubre de 2024 |
| ISBN13 | 9781032737539 |
| Editores | Taylor & Francis Ltd |
| Páginas | 338 |
| Dimensiones | 150 × 220 × 20 mm · 662 g |
| Lengua | Inglés |
| Editor | Pandey, Bishwajeet Kumar (Jain University, India) |
| Editor | Sardar, Tanvir Habib |