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Cell by Cell Artificial Neural Networks Approach for Modelling Laminar Flow in Two-dimensional Domain

SABIR, OSAMA FUAD AKASHA (2018) Cell by Cell Artificial Neural Networks Approach for Modelling Laminar Flow in Two-dimensional Domain. PhD thesis, Universiti Teknologi PETRONAS.

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This research is motivated by the rapid growth of soft computing using artificial intelligence. Applying artificial neural networks in fluid mechanics are only effective for specific, predefined geometries without discretizations. Hence, a cell by cell new artificial neural networks approach is proposed to predict the characteristics of laminar flow in any arbitrary two-dimensional domain.

Item Type: Thesis (PhD)
Academic Subject : Academic Department - Mechanical Engineering - Petroleum
Subject: T Technology > TJ Mechanical engineering and machinery
Divisions: Engineering > Mechanical
Depositing User: Ahmad Suhairi Mohamed Lazim
Date Deposited: 28 Jan 2019 15:40
Last Modified: 28 Jan 2019 15:40
URI: http://utpedia.utp.edu.my/id/eprint/18406

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