An application of Artificial Neural Network (ANN) to predict the friction coefficient of nuclear grade graphite
In scientific research, computer modeling techniques are widely used. Artificial neural networks are now well established and prominent in the literature when computationally based methodologies are used. New advancements in these domains have benefited and continue to benefit the materials science...
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| Main Authors: | Soni, A., Yusuf, M., Beg, M., Hashmi, A.W. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.33178 / |
| Published: |
Elsevier Ltd
2022
|
| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131802948&doi=10.1016%2fj.matpr.2022.05.567&partnerID=40&md5=04945f8212ce0da5ed6cd238b5538f25 http://eprints.utp.edu.my/33178/ |
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