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Titlebook: Applications of Learning Classifier Systems; Larry Bull Book 2004 Springer-Verlag Berlin Heidelberg 2004 Agent Modelling.Control.Data Mini

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樓主: HABIT
31#
發(fā)表于 2025-3-26 21:32:50 | 只看該作者
The Development of an Industrial Learning Classifier System for Data-Mining in a Steel Hop Strip Milant input (e.g. set up) to output (e.g. product quality) from the information contained. Many bespoke and commercial data-mining tools exist, but the novel Artificial Intelligence (AI) technique of Learning Classifier Systems (LCS) has unique properties that could give commercial advantage if developed for such industrial domains.
32#
發(fā)表于 2025-3-27 01:11:11 | 只看該作者
Book 2004lop while interacting with their environments? In particular, why not systems that, like organic populations, contain competing, perhaps cooperating, entities evolving together? John Holland was one of the earliest scientists with this vision, at a time when so-called artificial intelligence was in
33#
發(fā)表于 2025-3-27 08:27:38 | 只看該作者
Stefan Offermanns,Walter Rosenthalof conceptual knowledge. With current and anticipated volumes of data, it is increasingly unlikely that data will contribute to knowledge unless the analysis of data to identify relationships within that data can be automated to a significant extent.
34#
發(fā)表于 2025-3-27 12:01:06 | 只看該作者
35#
發(fā)表于 2025-3-27 17:13:43 | 只看該作者
36#
發(fā)表于 2025-3-27 21:38:04 | 只看該作者
Data Mining using Learning Classifier Systemsof conceptual knowledge. With current and anticipated volumes of data, it is increasingly unlikely that data will contribute to knowledge unless the analysis of data to identify relationships within that data can be automated to a significant extent.
37#
發(fā)表于 2025-3-27 22:46:44 | 只看該作者
Application of Learning Classifier Systems to the On-Line Reconfiguration of Electric Power Distribud profiles (Lee and Brooks, 1988). Few papers have attempted to address this dynamic problem (Vargas et al., 2001; Zhou et al., 1997), and additional adaptation skills are necessary when compared with the corresponding static problem.
38#
發(fā)表于 2025-3-28 04:53:17 | 只看該作者
39#
發(fā)表于 2025-3-28 07:02:46 | 只看該作者
Larry BullBrings together recent real-world applications of a machine learning technique whose performance has been greatly improved in recent years and which is experiencing resurgence in interest.Includes sup
40#
發(fā)表于 2025-3-28 13:31:41 | 只看該作者
Studies in Fuzziness and Soft Computinghttp://image.papertrans.cn/a/image/159479.jpg
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