Intelligent Prediction System for Gas Metering System using Particle Swarm Optimization in Training Neural Network

In this paper, a study on development of prediction model based on an intelligent systems is discussed for gas metering system in order to validate the instrument reliability. In providing reliable measurement of gas metering system, an accurate prediction model is required for model validation and...

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Main Authors: Rosli, N.S., Ibrahim, R., Ismail, I.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.20261 /
Published: Elsevier B.V. 2017
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016089305&doi=10.1016%2fj.procs.2017.01.197&partnerID=40&md5=e3dafb2210ecea949a7fa9ffb65701c1
http://eprints.utp.edu.my/20261/
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spelling utp-eprints.202612018-04-22T14:48:03Z Intelligent Prediction System for Gas Metering System using Particle Swarm Optimization in Training Neural Network Rosli, N.S. Ibrahim, R. Ismail, I. In this paper, a study on development of prediction model based on an intelligent systems is discussed for gas metering system in order to validate the instrument reliability. In providing reliable measurement of gas metering system, an accurate prediction model is required for model validation and parameter estimation. The intelligent prediction system has been developed for gas measurement validation. Then the project focused on the application of particle swarm optimization (PSO) and Genetic Algorithm (GA) in training neural network prediction model in enhancing the performance of Intelligent Prediction System (IPS). In this study, the three experiment has been conducted to improve the accuracy of the neural network prediction model. The comparison of the performance of PSONN and GANN with pure ANN is presented in this paper. The results shows that the proposed PSONN model give promising results in the prediction accuracy of gas measurement. © 2017 The Authors. Elsevier B.V. 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016089305&doi=10.1016%2fj.procs.2017.01.197&partnerID=40&md5=e3dafb2210ecea949a7fa9ffb65701c1 Rosli, N.S. and Ibrahim, R. and Ismail, I. (2017) Intelligent Prediction System for Gas Metering System using Particle Swarm Optimization in Training Neural Network. Procedia Computer Science, 105 . pp. 165-169. http://eprints.utp.edu.my/20261/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description In this paper, a study on development of prediction model based on an intelligent systems is discussed for gas metering system in order to validate the instrument reliability. In providing reliable measurement of gas metering system, an accurate prediction model is required for model validation and parameter estimation. The intelligent prediction system has been developed for gas measurement validation. Then the project focused on the application of particle swarm optimization (PSO) and Genetic Algorithm (GA) in training neural network prediction model in enhancing the performance of Intelligent Prediction System (IPS). In this study, the three experiment has been conducted to improve the accuracy of the neural network prediction model. The comparison of the performance of PSONN and GANN with pure ANN is presented in this paper. The results shows that the proposed PSONN model give promising results in the prediction accuracy of gas measurement. © 2017 The Authors.
format Article
author Rosli, N.S.
Ibrahim, R.
Ismail, I.
spellingShingle Rosli, N.S.
Ibrahim, R.
Ismail, I.
Intelligent Prediction System for Gas Metering System using Particle Swarm Optimization in Training Neural Network
author_sort Rosli, N.S.
title Intelligent Prediction System for Gas Metering System using Particle Swarm Optimization in Training Neural Network
title_short Intelligent Prediction System for Gas Metering System using Particle Swarm Optimization in Training Neural Network
title_full Intelligent Prediction System for Gas Metering System using Particle Swarm Optimization in Training Neural Network
title_fullStr Intelligent Prediction System for Gas Metering System using Particle Swarm Optimization in Training Neural Network
title_full_unstemmed Intelligent Prediction System for Gas Metering System using Particle Swarm Optimization in Training Neural Network
title_sort intelligent prediction system for gas metering system using particle swarm optimization in training neural network
publisher Elsevier B.V.
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016089305&doi=10.1016%2fj.procs.2017.01.197&partnerID=40&md5=e3dafb2210ecea949a7fa9ffb65701c1
http://eprints.utp.edu.my/20261/
_version_ 1741196343452368896
score 11.62408

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