NEURAL NETWORK PREDICTION MODEL FOR FIELD INSTRUMENTS IN GAS METERING SYSTEM BASED ON PARTICLE SWARM OPTIMZATION
Accurate measurement of temperature, pressure and volume in a gas metering stations is an important aspect to ensure the reliability of billing process. It is highly crucial to have a high degree of measurement accuracy to ensure correct volume of products to be sold. This will ensure value for t...
| Main Author: | ROSLI, NURFATIHAH SYALWIAH |
|---|---|
| Format: | Thesis |
| Language: | English |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-utpedia.21847 / |
| Published: |
2016
|
| Online Access: |
http://utpedia.utp.edu.my/21847/1/2016%20-%20%20ELECTRICAL%20-%20NEURAL%20NETWORK%20PREDICTION%20MODEL%20FOR%20FIELD%20INSTRUMENTS%20IN%20GAS%20METERING%20SYSTEM%20BASED%20ON%20PARTICLE%20SWARM%20OPTIMIZATION-NURFATIHAH%20SYALWIAH%20BINTI%20ROSLI.pdf http://utpedia.utp.edu.my/21847/ |
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