Neural network model with particle swarm optimization for prediction in gas metering systems
This research focuses on developing an intelligent system of prediction model to justify instrument's reliability. It is important to have an accurate prediction model in order to provide the reliable gas metering system. As the result, the billing integrity between the distributor and the cust...
| Main Authors: | Rosli, N.S., Ibrahim, R., Ismail, I. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.20173 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2017
|
| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85012026140&doi=10.1109%2fICIAS.2016.7824049&partnerID=40&md5=9ca1f71bffbe4b7165d056bc5136e5bc http://eprints.utp.edu.my/20173/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
utp-eprints.20173 |
|---|---|
| recordtype |
eprints |
| spelling |
utp-eprints.201732018-04-22T14:44:25Z Neural network model with particle swarm optimization for prediction in gas metering systems Rosli, N.S. Ibrahim, R. Ismail, I. This research focuses on developing an intelligent system of prediction model to justify instrument's reliability. It is important to have an accurate prediction model in order to provide the reliable gas metering system. As the result, the billing integrity between the distributor and the customers are not affected. The application of particle swarm optimization (PSO) in optimizing the weights and biases of neural network (ANN) model is proposed to enhance the accuracy and performance of prediction model for gas metering system. This paper provides on the analysis on comparing the parameter prediction using ANN only with PSO-based ANN techniques. The results discover that the proposed instrument has the higher accuracy in estimating gas measurement with the errors lower than 1. © 2016 IEEE. Institute of Electrical and Electronics Engineers Inc. 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85012026140&doi=10.1109%2fICIAS.2016.7824049&partnerID=40&md5=9ca1f71bffbe4b7165d056bc5136e5bc Rosli, N.S. and Ibrahim, R. and Ismail, I. (2017) Neural network model with particle swarm optimization for prediction in gas metering systems. International Conference on Intelligent and Advanced Systems, ICIAS 2016 . http://eprints.utp.edu.my/20173/ |
| institution |
Universiti Teknologi Petronas |
| collection |
UTP Institutional Repository |
| description |
This research focuses on developing an intelligent system of prediction model to justify instrument's reliability. It is important to have an accurate prediction model in order to provide the reliable gas metering system. As the result, the billing integrity between the distributor and the customers are not affected. The application of particle swarm optimization (PSO) in optimizing the weights and biases of neural network (ANN) model is proposed to enhance the accuracy and performance of prediction model for gas metering system. This paper provides on the analysis on comparing the parameter prediction using ANN only with PSO-based ANN techniques. The results discover that the proposed instrument has the higher accuracy in estimating gas measurement with the errors lower than 1. © 2016 IEEE. |
| format |
Article |
| author |
Rosli, N.S. Ibrahim, R. Ismail, I. |
| spellingShingle |
Rosli, N.S. Ibrahim, R. Ismail, I. Neural network model with particle swarm optimization for prediction in gas metering systems |
| author_sort |
Rosli, N.S. |
| title |
Neural network model with particle swarm optimization for prediction in gas metering systems |
| title_short |
Neural network model with particle swarm optimization for prediction in gas metering systems |
| title_full |
Neural network model with particle swarm optimization for prediction in gas metering systems |
| title_fullStr |
Neural network model with particle swarm optimization for prediction in gas metering systems |
| title_full_unstemmed |
Neural network model with particle swarm optimization for prediction in gas metering systems |
| title_sort |
neural network model with particle swarm optimization for prediction in gas metering systems |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2017 |
| url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85012026140&doi=10.1109%2fICIAS.2016.7824049&partnerID=40&md5=9ca1f71bffbe4b7165d056bc5136e5bc http://eprints.utp.edu.my/20173/ |
| _version_ |
1741196329620602880 |
| score |
11.62408 |