| 书目名称 | Foundations of Computational Intelligence | | 副标题 | Volume 1: Learning a | | 编辑 | Aboul-Ella Hassanien,Ajith Abraham,Witold Pedrycz | | 视频video | | | 概述 | First volume of a Reference work on the foundations of computational intelligence.Devoted to learning and approximation | | 丛书名称 | Studies in Computational Intelligence | | 图书封面 |  | | 描述 | 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. Both kinds of problems have a large number of applications arising from a variety of fields, such as algorithmic game theory, approximation classes, coloring and partitioning, competitive analysis, computational finance, cuts and connectivity, inapproximability results, mechanism design, network design, packing and covering, paradigms for design and analysis of approxi- tion and online algorithms, randomization techniques, real-world applications, scheduling problems and so on. The past years have witnessed a large number of interesting applications using various techniques of Computational Intelligence such as rough sets, connectionist learning; fuzzy logic; evolutionary computing; artificial immune systems; swarm intelligence; reinforcement learning, intelligent multimedia processing etc. . In spite of numerous successful applications of C- putational Intelligence in business and indus | | 出版日期 | Book 2009 | | 关键词 | Approximation; Computational Intelligence; Evolution; Fuzzy; algorithms; calculus; genome; intelligence; kno | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-01082-8 | | isbn_softcover | 978-3-662-56843-9 | | isbn_ebook | 978-3-642-01082-8Series ISSN 1860-949X Series E-ISSN 1860-9503 | | issn_series | 1860-949X | | copyright | Springer-Verlag Berlin Heidelberg 2009 |
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发表于 2025-3-21 18:31:31
