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Math. Comput. Appl. 2005, 10(1), 121-132; doi:10.3390/mca10010121

Dynamic System Modeling Using Rules3 Induction Algorithm

King Saud University, College of Computer and Information Sciences, P.O.Box 51178, Riyadh, 11543, Saudi Arabia
Published: 1 April 2005
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This paper describes the use of a new induction algorithm to derive production rules for modelling dynamic systems. The algorithm, called RULES-3, is an efficient tool for extracting a compact set of IF-THEN rules from a collection of examples to classify objects into known categories. The paper summarises the operation of RULES-3 and presents the results obtained in the modelling of two linear systems and two non-linear systems.
Keywords: System Identifıcation; Inductive Learning; RULES3 System Identifıcation; Inductive Learning; RULES3
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Aksoy, M.S. Dynamic System Modeling Using Rules3 Induction Algorithm. Math. Comput. Appl. 2005, 10, 121-132.

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Math. Comput. Appl. EISSN 2297-8747 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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