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ISLE - a novel immune-system inspired rule extraction algorithm

Pham, Duc Truong and Soroka, Anthony John 2005. ISLE - a novel immune-system inspired rule extraction algorithm. Presented at: 16th IFAC World Congress 2005, Prague, Czech Republic, 4-8 July 2005. Published in: Zítek, Pavel ed. Proceedings of the 16th IFAC World Congress, 2005. World Congress , vol. 16/1. Laxenburg: International Federation of Automatic Control, p. 1469. 10.3182/20050703-6-CZ-1902.01470

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Abstract

This paper proposes a novel rule extraction algorithm whose extraction technique is inspired by the pattem recognition abilities of the immune system. This algorithm is based upon a form of immune network that facilitates the implementation of incremental rule extraction. The use of such a network also enables the algorithm to leam from training examples that do not have classes specified. The algorithm is tested against several example data sets and shows itself to be at least comparable to existing algorithms.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Engineering
Centre for Advanced Manufacturing Systems At Cardiff (CAMSAC)
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Uncontrolled Keywords: Artificial intelligence; Learning algorithms; Machine learning; Knowledge-based systems; Rules; Rule-based systems
Publisher: International Federation of Automatic Control
ISBN: 9783902661753
ISSN: 1474-6670
Last Modified: 10 Oct 2017 14:41
URI: http://orca-mwe.cf.ac.uk/id/eprint/37208

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