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|a 9783540399254
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|a 10.1007/978-3-540-39925-4
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|a (DE-He213)978-3-540-39925-4
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|a Applications of Learning Classifier Systems
|h [electronic resource] /
|c edited by Larry Bull.
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| 250 |
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|a 1st ed. 2004.
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| 264 |
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1 |
|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2004.
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| 300 |
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|a VIII, 305 p.
|b online resource.
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| 336 |
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|a text
|b txt
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|a Studies in Fuzziness and Soft Computing,
|x 1434-9922 ;
|v 150
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| 490 |
1 |
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|a Springer eBook Collection
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| 505 |
0 |
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|a Learning Classifier Systems: A Brief Introduction -- Section 1 — Data Mining -- Data Mining using Learning Classifier Systems -- NXCS Experts for Financial Time Series Forecasting -- Encouraging Compact Rulesets from XCS for Enhanced Data Mining -- Section 2 — Modelling and Optimization -- The Fighter Aircraft LCS: A Real-World, Machine Innovation Application -- Traffic Balance using Learning Classifier Systems in an Agent-based Simulation -- A Multi-Agent Model of the UK Market in Electricity Generation -- Exploring Organizational-Learning Oriented Classifier Systems in Real-World Problems -- Section 3 — Control -- Distributed Routing in Communication Networks using the Temporal Fuzzy Classifier System — a Study on Evolutionary Multi-Agent Control -- The Development of an Industrial Learning Classifier System for Data-Mining in a Steel Hop Strip Mill -- Application of Learning Classifier Systems to the On-Line Reconfiguration of Electric Power Distribution Networks -- Towards Distributed Adaptive Control for Road Traffic Junction Signals using Learning Classifier Systems -- Bibliography of Real-World Classifier Systems Applications.
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| 520 |
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|a This carefully edited book brings together a fascinating selection of applications of Learning Classifier Systems (LCS). The book demonstrates the utility of this machine learning technique in recent real-world applications in such domains as data mining, modeling and optimization, and control. It shows how the LCS technique combines and exploits many Soft Computing approaches into a single coherent framework to produce an improved performance over other approaches.
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| 590 |
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|a Loaded electronically.
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| 590 |
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|a Electronic access restricted to members of the Holy Cross Community.
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| 650 |
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0 |
|a Artificial intelligence.
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| 650 |
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0 |
|a Applied mathematics.
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| 650 |
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0 |
|a Engineering mathematics.
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| 650 |
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0 |
|a Control engineering.
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| 650 |
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0 |
|a Robotics.
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| 650 |
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|a Mechatronics.
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| 690 |
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|a Electronic resources (E-books)
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| 700 |
1 |
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|a Bull, Larry.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 710 |
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|a SpringerLink (Online service)
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| 830 |
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|a Studies in Fuzziness and Soft Computing,
|x 1434-9922 ;
|v 150
|
| 830 |
|
0 |
|a Springer eBook Collection.
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://doi.org/10.1007/978-3-540-39925-4
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