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Rule-Based Evolutionary Online Learning Systems A Principled Approach to LCS Analysis and Design /
This book offers a comprehensive introduction to learning classifier systems (LCS) - or more generally, rule-based evolutionary online learning systems. LCSs learn interactively - much like a neural network - but with an increased adaptivity and flexibility. This book provides the necessary backgrou...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2006.
|
| Edición: | 1st ed. 2006. |
| Colección: | Studies in Fuzziness and Soft Computing,
191 |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 001 | 978-3-540-31231-4 | ||
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| 008 | 100301s2006 gw | s |||| 0|eng d | ||
| 020 | |a 9783540312314 |9 978-3-540-31231-4 | ||
| 024 | 7 | |a 10.1007/b104669 |2 doi | |
| 050 | 4 | |a QA75.5-76.95 | |
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| 100 | 1 | |a Butz, Martin V. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Rule-Based Evolutionary Online Learning Systems |h [electronic resource] : |b A Principled Approach to LCS Analysis and Design / |c by Martin V. Butz. |
| 250 | |a 1st ed. 2006. | ||
| 264 | 1 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg : |b Imprint: Springer, |c 2006. | |
| 300 | |a XXI, 259 p. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Studies in Fuzziness and Soft Computing, |x 1860-0808 ; |v 191 | |
| 505 | 0 | |a Prerequisites -- Simple Learning Classifier Systems -- The XCS Classifier System -- How XCS Works: Ensuring Effective Evolutionary Pressures -- When XCS Works: Towards Computational Complexity -- Effective XCS Search: Building Block Processing -- XCS in Binary Classification Problems -- XCS in Multi-Valued Problems -- XCS in Reinforcement Learning Problems -- Facetwise LCS Design -- Towards Cognitive Learning Classifier Systems -- Summary and Conclusions. | |
| 520 | |a This book offers a comprehensive introduction to learning classifier systems (LCS) - or more generally, rule-based evolutionary online learning systems. LCSs learn interactively - much like a neural network - but with an increased adaptivity and flexibility. This book provides the necessary background knowledge on problem types, genetic algorithms, and reinforcement learning as well as a principled, modular analysis approach to understand, analyze, and design LCSs. The analysis is exemplarily carried through on the XCS classifier system - the currently most prominent system in LCS research. Several enhancements are introduced to XCS and evaluated. An application suite is provided including classification, reinforcement learning and data-mining problems. Reconsidering John Holland's original vision, the book finally discusses the current potentials of LCSs for successful applications in cognitive science and related areas. | ||
| 650 | 0 | |a Computer science. | |
| 650 | 0 | |a Engineering mathematics. | |
| 650 | 0 | |a Engineering-Data processing. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Neurosciences. | |
| 650 | 0 | |a Mathematics. | |
| 650 | 1 | 4 | |a Theory of Computation. |
| 650 | 2 | 4 | |a Mathematical and Computational Engineering Applications. |
| 650 | 2 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Neuroscience. |
| 650 | 2 | 4 | |a Applications of Mathematics. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783642064777 |
| 776 | 0 | 8 | |i Printed edition: |z 9783540809371 |
| 776 | 0 | 8 | |i Printed edition: |z 9783540253792 |
| 830 | 0 | |a Studies in Fuzziness and Soft Computing, |x 1860-0808 ; |v 191 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/b104669 |z Texto Completo |
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| 912 | |a ZDB-2-SXE | ||
| 950 | |a Engineering (SpringerNature-11647) | ||
| 950 | |a Engineering (R0) (SpringerNature-43712) | ||