Towards learning classifier systems for continuous-valued online environments

4Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Previous work has studied the use of interval representations in XCS to allow its use in continuous-valued environments. Here we compare the speed of learning of continuous-valued versions of ZCS and XCS with a simple model of an online environment. © Springer-Verlag Berlin Heidelberg 2003.

Cite

CITATION STYLE

APA

Stone, C., & Bull, L. (2003). Towards learning classifier systems for continuous-valued online environments. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2724, 1924–1925. https://doi.org/10.1007/3-540-45110-2_91

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free