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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.
384 pages, 81 Line drawings, black and white; 30 Halftones, black and white; 111 Illustrations, blac
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2024. gada 28. oktobris |
| ISBN13 | 9781032737539 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 338 |
| Izmēri | 150 × 220 × 20 mm · 662 g |
| Valoda | Angļu |
| Redaktors | Pandey, Bishwajeet Kumar (Jain University, India) |
| Redaktors | Sardar, Tanvir Habib |