Advances in Learning Classifier Systems - Lanzi Pier L.
Advances in Learning Classifier Systems - Lanzi Pier L.
- 4th International Workshop, IWLCS 2001, San Francisco, CA, USA, July 7-8, 2001. Revised Papers
The 12 revised full papers presented together with a special paper on a formal description of ACS have gone through two rounds of reviewing and improvement. The first part of the book is devoted to theoretical issues of learning classifier systems including the influence of exploration strategy, self-adaptive classifier systems, and the use of classifier systems for social simulation. The second part is devoted to applications in various fields such as data mining, stock trading, and power distributionn networks.
EAN: 9783540437932
Marka
Symbol
970HKB03527KS
Rok wydania
2002
Strony
244
Oprawa
Miekka
Format
15.6x23.4cm
Redakcja
Lanzi Pier L.
Język
angielski

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14 dni na łatwy zwrot

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Marka
Symbol
970HKB03527KS
Kod producenta
9783540437932
Rok wydania
2002
Strony
244
Oprawa
Miekka
Format
15.6x23.4cm
Redakcja
Lanzi Pier L.
Język
angielski

This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Learning Classifier Systems, IWLCS 2001, held in San Francisco, CA, USA, in July 2001.
The 12 revised full papers presented together with a special paper on a formal description of ACS have gone through two rounds of reviewing and improvement. The first part of the book is devoted to theoretical issues of learning classifier systems including the influence of exploration strategy, self-adaptive classifier systems, and the use of classifier systems for social simulation. The second part is devoted to applications in various fields such as data mining, stock trading, and power distributionn networks.
EAN: 9783540437932
The 12 revised full papers presented together with a special paper on a formal description of ACS have gone through two rounds of reviewing and improvement. The first part of the book is devoted to theoretical issues of learning classifier systems including the influence of exploration strategy, self-adaptive classifier systems, and the use of classifier systems for social simulation. The second part is devoted to applications in various fields such as data mining, stock trading, and power distributionn networks.
EAN: 9783540437932
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Ocena: /5
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