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Real-valued GCS classifier system

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Title: Real-valued GCS classifier system

Creator:

Cielecki, Łukasz ; Unold, Olgierd

Date:

2007

Resource Type:

artykuł

Contributor:

Korbicz, Józef - red.

Group publication title:

AMCS, volume 17 (2007)

Abstract:

Learning Classifier Systems (LCSs) have gained increasing interest in the genetic and evolutionary computation literature. Many real-world problems are not conveniently expressed using the ternary representation typically used by LCSs and for such problems an interval-based representation is preferable. A new model of LCSs is introduced to classify realvalued data. The approach applies the continous-valued context-free grammar-based system GCS. In order to handle data effectively, the terminal rules were replaced by the so-called environment probing rules. The rGCS model was tested on the checkerboard problem.

Publisher:

Zielona Góra: Uniwersytet Zielonogórski

Resource Identifier:

oai:zbc.uz.zgora.pl:78674

DOI:

10.2478/v10006-007-0044-x

Pages:

539-547

Source:

AMCS, volume 17, number 4 (2007) ; click here to follow the link

Language:

eng

Rights:

Biblioteka Uniwersytetu Zielonogórskiego

Subject and keywords:

earning classifier systems GCS GAs grammatical inference context-free grammar

Object collections:

Last modified:

Apr 3, 2024

In our library since:

Apr 3, 2024

Number of object content hits:

14

All available object's versions:

https://zbc.uz.zgora.pl/publication/88430

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Real-valued GCS classifier system Apr 3, 2024

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Phone

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E-Mail

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