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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Abstract

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.)
Subjects: T Technology > TJ Mechanical engineering and machinery
Departments / MOR / COE: Engineering > Mechanical
Depositing User: Mr Ahmad Suhairi Mohamed Lazim
Date Deposited: 28 Jan 2019 15:40
Last Modified: 15 May 2023 07:41
URI: http://utpedia.utp.edu.my/id/eprint/18406

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