Title :
3D Function Approximation with rGCS Classifier System
Author :
Lukasz Cielecki;Olgierd Unold
Author_Institution :
Inst. of Comput. Eng., Control & Robot, Wroclaw Univ. of Technol., Wroclaw
Abstract :
Extended Classifier Systems (XCS) introduced by Wilson became popular instrument used to solve many real-world problems possible to express with ternary representation. Our new model of real-valued LCS – the rGCS – is designed to classify real valued data. rGCS is based on Grammar-based Classifier System (GCS), which was originally used to process context free grammar sentences. To improve 3D function approximation a covering technique was developed. This procedure replenishes the population of system classifiers with new ones created on the fly to satisfy current state of grammar evolution. As a result there is no need to employ a genetic algorithm.
Keywords :
"Function approximation","Intelligent robots","Context modeling","Genetic algorithms","Benchmark testing","Space exploration","Intelligent systems","Application software","Control engineering computing","Design engineering"
Conference_Titel :
Intelligent Systems Design and Applications, 2008. ISDA ´08. Eighth International Conference on
Print_ISBN :
978-0-7695-3382-7
DOI :
10.1109/ISDA.2008.179
