| 書目名稱 | Foundations of Learning Classifier Systems |
| 編輯 | Larry Bull,Tim Kovacs |
| 視頻video | http://file.papertrans.cn/348/347040/347040.mp4 |
| 概述 | Recent theoretical work in Learning Classifier Systems (LCS).Presents a coherent framework of LCS.Includes a relevant historical original work by John Holland.Includes supplementary material: |
| 叢書名稱 | Studies in Fuzziness and Soft Computing |
| 圖書封面 |  |
| 描述 | .This volume brings together recent theoretical work in Learning Classifier Systems (LCS), which is a Machine Learning technique combining Genetic Algorithms and Reinforcement Learning. It includes self-contained background chapters on related fields (reinforcement learning and evolutionary computation) tailored for a classifier systems audience and written by acknowledged authorities in their area - as well as a relevant historical original work by John Holland.. |
| 出版日期 | Book 2005 |
| 關(guān)鍵詞 | Adaptation; Mathematica; algorithm; algorithms; calculus; classification; complexity; dynamics; evolution; ev |
| 版次 | 1 |
| doi | https://doi.org/10.1007/b100387 |
| isbn_softcover | 978-3-642-06413-5 |
| isbn_ebook | 978-3-540-32396-9Series ISSN 1434-9922 Series E-ISSN 1860-0808 |
| issn_series | 1434-9922 |
| copyright | Springer-Verlag Berlin Heidelberg 2005 |
|Archiver|手機(jī)版|小黑屋|
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