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Machine Learning Hybridization and Optimization for Intelligent Applications - Computational Intelligence Techniques
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.
| Media | Books Paperback Book (Book with soft cover and glued back) |
| To be released | June 22, 2026 |
| ISBN13 | 9781032737645 |
| Publishers | Taylor & Francis Ltd |
| Pages | 338 |
| Dimensions | 150 × 220 × 10 mm · 512 g |
| Editor | Pandey, Bishwajeet Kumar (Jain University, India) |
| Editor | Sardar, Tanvir Habib |