Abstract
XCSF is a new extension to XCS that is developed to extend XCS's reward calculation capability via computing. This new feature is called computable prediction. The first version of XCSF tries to find the most appropriate equation to compute each classifier's reward using a weight update mechanism. In this paper, we try to propose a new evolutionary mechanism to compute these equations using genetic algorithms. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Hamzeh, A., & Rahmani, A. (2005). An evolutionary function approximation approach to compute prediction in XCSF. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3720 LNAI, pp. 584–592). https://doi.org/10.1007/11564096_57
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