Hybrid algorithm for NARX network parameters' determination using differential evolution and genetic algorithm

A hybrid optimization algorithm using Differential Evolution (DE) and Genetic Algorithm (GA) is proposed in this study to address the problem of network parameters determination associated with the Nonlinear Autoregressive with eXogenous inputs Network (NARX-network). The proposed algorithm involves...

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Main Authors: Salami, Momoh Jimoh Eyiomika, Tijani, Ismaila, Isqeel , Abdullateef Ayodele, Aibinu, Abiodun Musa
Format: Article
Language:English
Published: IOP Publishing 2013
Subjects:
Online Access:http://irep.iium.edu.my/34610/1/1757-899X_53_1_012062.pdf
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author Salami, Momoh Jimoh Eyiomika
Tijani, Ismaila
Isqeel , Abdullateef Ayodele
Aibinu, Abiodun Musa
author_facet Salami, Momoh Jimoh Eyiomika
Tijani, Ismaila
Isqeel , Abdullateef Ayodele
Aibinu, Abiodun Musa
author_sort Salami, Momoh Jimoh Eyiomika
collection IIUM
description A hybrid optimization algorithm using Differential Evolution (DE) and Genetic Algorithm (GA) is proposed in this study to address the problem of network parameters determination associated with the Nonlinear Autoregressive with eXogenous inputs Network (NARX-network). The proposed algorithm involves a two level optimization scheme to search for both optimal network architecture and weights. The DE at the upper level is formulated as combinatorial optimization to search for the network architecture while the associated network weights that minimize the prediction error is provided by the GA at the lower level. The performance of the algorithm is evaluated on identification of a laboratory rotary motion system. The system identification results show the effectiveness of the proposed algorithm for nonparametric model development.
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spelling oai:generic.eprints.org:346102018-05-24T07:02:46Z http://irep.iium.edu.my/34610/ Hybrid algorithm for NARX network parameters' determination using differential evolution and genetic algorithm Salami, Momoh Jimoh Eyiomika Tijani, Ismaila Isqeel , Abdullateef Ayodele Aibinu, Abiodun Musa QA75 Electronic computers. Computer science A hybrid optimization algorithm using Differential Evolution (DE) and Genetic Algorithm (GA) is proposed in this study to address the problem of network parameters determination associated with the Nonlinear Autoregressive with eXogenous inputs Network (NARX-network). The proposed algorithm involves a two level optimization scheme to search for both optimal network architecture and weights. The DE at the upper level is formulated as combinatorial optimization to search for the network architecture while the associated network weights that minimize the prediction error is provided by the GA at the lower level. The performance of the algorithm is evaluated on identification of a laboratory rotary motion system. The system identification results show the effectiveness of the proposed algorithm for nonparametric model development. IOP Publishing 2013 Article PeerReviewed application/pdf en http://irep.iium.edu.my/34610/1/1757-899X_53_1_012062.pdf Salami, Momoh Jimoh Eyiomika and Tijani, Ismaila and Isqeel , Abdullateef Ayodele and Aibinu, Abiodun Musa (2013) Hybrid algorithm for NARX network parameters' determination using differential evolution and genetic algorithm. IOP Conference Series: Materials Science and Engineering, 57 (012062). pp. 1-10. ISSN 1757-8981 http://iopscience.iop.org/1757-899X/53/1/012062/pdf/1757-899X_53_1_012062.pdf 210.48.222.8
spellingShingle QA75 Electronic computers. Computer science
Salami, Momoh Jimoh Eyiomika
Tijani, Ismaila
Isqeel , Abdullateef Ayodele
Aibinu, Abiodun Musa
Hybrid algorithm for NARX network parameters' determination using differential evolution and genetic algorithm
title Hybrid algorithm for NARX network parameters' determination using differential evolution and genetic algorithm
title_full Hybrid algorithm for NARX network parameters' determination using differential evolution and genetic algorithm
title_fullStr Hybrid algorithm for NARX network parameters' determination using differential evolution and genetic algorithm
title_full_unstemmed Hybrid algorithm for NARX network parameters' determination using differential evolution and genetic algorithm
title_short Hybrid algorithm for NARX network parameters' determination using differential evolution and genetic algorithm
title_sort hybrid algorithm for narx network parameters determination using differential evolution and genetic algorithm
topic QA75 Electronic computers. Computer science
url http://irep.iium.edu.my/34610/1/1757-899X_53_1_012062.pdf
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