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...

詳細記述

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書誌詳細
第一著者: ROSLI, NURFATIHAH SYALWIAH
フォーマット: 学位論文
言語:English
出版事項: 2016
オンライン・アクセス: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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