Learning classifier systems : from foundations to applications
Learning Classifier Systems (LCS) are a machine learning paradigm introduced by John Holland in 1976. They are rule-based systems in which learning is viewed as a process of ongoing adaptation to a partially unknown environment through genetic algorithms and temporal difference learning. This book p...
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| Weitere Verfasser: | , |
| Format: | Livre numérique |
| Sprache: | Anglais |
| Veröffentlicht: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Schriftenreihe: | Lecture notes in computer science. Lecture notes in artificial intelligence
1813 |
| Schlagworte: | |
| Online Zugang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Anmerkung: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Learning classifier systems, from foundations to applications, Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson, eds, 2000, New York, Springer, 1 vol. (X-347 p.), Lecture notes in computer science, 3-540-67729-1 • Learning Classifier Systems, Texte imprimé, 9783662172186 |