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

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 prop...

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主要作者: SABIR, OSAMA FUAD AKASHA
格式: Thesis
语言:English
出版: 2018
主题:
TJ Mechanical engineering and machinery
在线阅读:http://utpedia.utp.edu.my/id/eprint/18406/1/Osama_PrintThesis01.pdf
http://utpedia.utp.edu.my/id/eprint/18406/
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id oai:utpedia.utp.edu.my:18406
record_format eprints
spelling oai:utpedia.utp.edu.my:184062023-05-15T07:41:08Z http://utpedia.utp.edu.my/id/eprint/18406/ Cell by Cell Artificial Neural Networks Approach for Modelling Laminar Flow in Two-dimensional Domain SABIR, OSAMA FUAD AKASHA TJ Mechanical engineering and machinery 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. 2018-04 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/id/eprint/18406/1/Osama_PrintThesis01.pdf 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.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
SABIR, OSAMA FUAD AKASHA
Cell by Cell Artificial Neural Networks Approach for Modelling Laminar Flow in Two-dimensional Domain
description 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.
format Thesis
author SABIR, OSAMA FUAD AKASHA
author_facet SABIR, OSAMA FUAD AKASHA
author_sort SABIR, OSAMA FUAD AKASHA
title Cell by Cell Artificial Neural Networks Approach for Modelling Laminar Flow in Two-dimensional Domain
title_short Cell by Cell Artificial Neural Networks Approach for Modelling Laminar Flow in Two-dimensional Domain
title_full Cell by Cell Artificial Neural Networks Approach for Modelling Laminar Flow in Two-dimensional Domain
title_fullStr Cell by Cell Artificial Neural Networks Approach for Modelling Laminar Flow in Two-dimensional Domain
title_full_unstemmed Cell by Cell Artificial Neural Networks Approach for Modelling Laminar Flow in Two-dimensional Domain
title_sort cell by cell artificial neural networks approach for modelling laminar flow in two-dimensional domain
publishDate 2018
url http://utpedia.utp.edu.my/id/eprint/18406/1/Osama_PrintThesis01.pdf
http://utpedia.utp.edu.my/id/eprint/18406/
_version_ 1768010113390477312
score 13.251813

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