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Revisit of Rule-Deletion Strategy for XCSAM Classifier System on Classification
2017
Transactions of the Institute of Systems Control and Information Engineers
The XCSAM classifier system is an approach of evolutionary rule-based machine learning, which evolves rules advocating the highest-return actions at state, resulting in best classification. This paper starts with claiming a limitation that XCSAM still fails to evolutionary generate adequate rules advocating the highest-return actions. Then, under our hypothesis that this limitation is caused from the rule-deletion mechanism of XCSAM, we revisit its rule-deletion strategy in order to promote the
doi:10.5687/iscie.30.273
fatcat:eba2jzyvszdabfeqwyllsflp44