Dynamical genetic programming in XCSF

A number of representation schemes have been presented for use within learning classifier systems, ranging from binary encodings to artificial neural networks. This paper presents results from an investigation into using a temporally dynamic symbolic representation within the XCSF learning classifie...

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Vydané v:	Evolutionary computation Ročník 21; číslo 3; s. 361
Hlavní autori:	Preen, Richard J, Bull, Larry
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 01.09.2013
Predmet:	Algorithms Computational Biology - methods Models, Genetic Models, Theoretical Multivariate Analysis Neural Networks (Computer) Normal Distribution Programming Languages Regression Analysis Reproducibility of Results
ISSN:	1530-9304, 1530-9304
On-line prístup:	Zistit podrobnosti o prístupe
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