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商品詳細
Computational Intelligence : A Methodological Introduction. Softcover reprint of the original 2nd ed. 2016.
・ISBN 978-1-4471-7398-4 paper EUR 59.99
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お気に入り
★★★
| 著者・編者 | Kruse, Rudolf / Borgelt, Christian / Braune, Christian / Mostaghim, Sanaz / Steinbrecher, Matthias, |
|---|---|
| シリーズ | Texts in Computer Science |
| 出版社 | (Springer London Ltd, UK) |
| 出版年月 | 2018 |
| ページ数 | 564 pp. |
| 言語 | ENG |
| ニュース番号 | ＜M25-5732＞ |
解説
This textbook provides a clear and logical introduction to the field, covering the fundamental concepts, algorithms and practical implementations behind efforts to develop systems that exhibit intelligent behavior in complex environments. This enhanced second edition has been fully revised and expanded with new content on swarm intelligence, deep learning, fuzzy data analysis, and discrete decision graphs.
Features: provides supplementary material at an associated website; contains numerous classroom-tested examples and definitions throughout the text; presents useful insights into all that is necessary for the successful application of computational intelligence methods; explains the theoretical background underpinning proposed solutions to common problems; discusses in great detail the classical areas of artificial neural networks, fuzzy systems and evolutionary algorithms; reviews the latest developments in the field, covering such topics as ant colonyoptimization and probabilistic graphical models.
Features: provides supplementary material at an associated website; contains numerous classroom-tested examples and definitions throughout the text; presents useful insights into all that is necessary for the successful application of computational intelligence methods; explains the theoretical background underpinning proposed solutions to common problems; discusses in great detail the classical areas of artificial neural networks, fuzzy systems and evolutionary algorithms; reviews the latest developments in the field, covering such topics as ant colonyoptimization and probabilistic graphical models.