# Real-valued GCS classifier system

Łukasz Cielecki; Olgierd Unold

International Journal of Applied Mathematics and Computer Science (2007)

- Volume: 17, Issue: 4, page 539-547
- ISSN: 1641-876X

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topCielecki, Łukasz, and Unold, Olgierd. "Real-valued GCS classifier system." International Journal of Applied Mathematics and Computer Science 17.4 (2007): 539-547. <http://eudml.org/doc/207857>.

@article{Cielecki2007,

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 real-valued 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.},

author = {Cielecki, Łukasz, Unold, Olgierd},

journal = {International Journal of Applied Mathematics and Computer Science},

keywords = {learning classifier systems; GAs; grammatical inference; context-free grammar; GCS},

language = {eng},

number = {4},

pages = {539-547},

title = {Real-valued GCS classifier system},

url = {http://eudml.org/doc/207857},

volume = {17},

year = {2007},

}

TY - JOUR

AU - Cielecki, Łukasz

AU - Unold, Olgierd

TI - Real-valued GCS classifier system

JO - International Journal of Applied Mathematics and Computer Science

PY - 2007

VL - 17

IS - 4

SP - 539

EP - 547

AB - 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 real-valued 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.

LA - eng

KW - learning classifier systems; GAs; grammatical inference; context-free grammar; GCS

UR - http://eudml.org/doc/207857

ER -

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