Creator:

Cielecki, Łukasz ; Unold, Olgierd

Contributor:

Korbicz, Józef (1951- ) - red.

Title:

Real-valued GCS classifier system

Group publication title:

AMCS, volume 17 (2007)

Subject and Keywords:

earning classifier systems ; GCS ; GAs ; grammatical inference ; context-free grammar

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

Date:

2007

Resource Type:

artykuł

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

License CC BY 4.0:

click here to follow the link

Rights:

Biblioteka Uniwersytetu Zielonogórskiego