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Mathematical and Computational Applications is published by MDPI from Volume 21 Issue 1 (2016). Articles in this Issue were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence. Articles are hosted by MDPI on mdpi.com as a courtesy and upon agreement with the previous journal publisher.
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Math. Comput. Appl. 2005, 10(1), 121-132; https://doi.org/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
PDF [197 KB, uploaded 31 March 2016]

Abstract

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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