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Multi-Criteria Decision-Making and Optimum Design with Machine Learning: A Practical Guide 1.º edición
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Multi-Criteria Decision-Making and Optimum Design with Machine Learning: A Practical Guide
As Multi-Criteria Decision-Making (MCDM) continues to grow and evolve, Machine Learning (ML) techniques have become increasingly important in finding efficient and effective solutions to complex problems. This book is intended to guide researchers, practitioners, and students interested in the intersection of ML and MCDM for optimal design.
424 pages, 66 Tables, black and white; 82 Line drawings, black and white; 23 Halftones, black and wh
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 11 de diciembre de 2024 |
| ISBN13 | 9781032635088 |
| Editores | Taylor & Francis Ltd |
| Páginas | 330 |
| Dimensiones | 150 × 220 × 20 mm · 830 g |
| Lengua | Inglés |
| Editor | Nguyen, Van Thanh Tien |
| Editor | Nguyen, Van-Thuc |
| Editor | Truong, Van Chinh |
| Editor | Vo, Nhut T.M. |
