Neural network architecture selection for efficient prediction model of gas metering system
This paper presents a comparative study and analysis of different neural network architectures of which one will be recommended towards adoption for developing a prediction model for gas metering system. Thus, the focus of this paper is to select the most suitable neural network architecture for gas...
| Main Authors: | Rosli, N., Ibrahim, R., Ismail, I., Hassan, S.M., Chung, T.D. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.20146 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2017
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015922154&doi=10.1109%2fROMA.2016.7847805&partnerID=40&md5=b626301db6310a9f886f2c343f3544b6 http://eprints.utp.edu.my/20146/ |
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