Dynamic System Modeling Using Rules3 Induction Algorithm
King Saud University, College of Computer and Information Sciences, P.O.Box 51178, Riyadh, 11543, Saudi Arabia
Math. Comput. Appl. 2005, 10(1), 121-132; https://doi.org/10.3390/mca10010121
Published: 1 April 2005
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
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MDPI and ACS Style
Aksoy, M.S. Dynamic System Modeling Using Rules3 Induction Algorithm. Math. Comput. Appl. 2005, 10, 121-132. https://doi.org/10.3390/mca10010121
AMA Style
Aksoy MS. Dynamic System Modeling Using Rules3 Induction Algorithm. Mathematical and Computational Applications. 2005; 10(1):121-132. https://doi.org/10.3390/mca10010121
Chicago/Turabian StyleAksoy, M. Sabih. 2005. "Dynamic System Modeling Using Rules3 Induction Algorithm" Mathematical and Computational Applications 10, no. 1: 121-132. https://doi.org/10.3390/mca10010121
