Foundations of learning classifier systems
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 computati...
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| Hlavní autor: | |
|---|---|
| Další autoři: | , , |
| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Vydání: | 1st ed. 2005. |
| Edice: | Studies in Fuzziness and Soft Computing
183 |
| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Poznámka: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Foundations of learning classifier systems, Larry Bull, Tim Kovacs, Berlin, Springer-Verlag, 2005, 1 vol. (VI-336 p.), Studies in fuzziness and soft computing, 3-540-25073-5 • Foundations of Learning Classifier Systems, Texte imprimé, 9783540808282 • Foundations of Learning Classifier Systems, Texte imprimé, 9783642064135 • Foundations of learning classifier systems, Larry Bull, Tim Kovacs, Berlin, Springer-Verlag, 2005, 1 vol. (VI-336 p.), Studies in fuzziness and soft computing, 3-540-25073-5 |

