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Foundations of Computational Intelligence: Volume 1: Learning and Approximation - Studies in Computational Intelligence Softcover reprint of the original 1st ed. 2009 edition
Foundations of Computational Intelligence: Volume 1: Learning and Approximation - Studies in Computational Intelligence
Foundations of Computational Intelligence Volume 1: Learning and Approximation: Theoretical Foundations and Applications Learning methods and approximation algorithms are fundamental tools that deal with computationally hard problems and problems in which the input is gradually disclosed over time.
400 pages, 95 Tables, black and white; XII, 400 p.
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | March 28, 2019 |
| ISBN13 | 9783662568439 |
| Publishers | Springer-Verlag Berlin and Heidelberg Gm |
| Pages | 400 |
| Dimensions | 150 × 220 × 10 mm · 576 g |
| Language | German |
| Editor | Abraham, Ajith |
| Editor | Hassanien, Aboul-Ella |
| Editor | Pedrycz, Witold |
| Editor | Vasilakos, Athanasios V. |