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...
保存先:
第一著者: | SABIR, OSAMA FUAD AKASHA |
---|---|
フォーマット: | 学位論文 |
言語: | English |
出版事項: |
2018
|
主題: | |
オンライン・アクセス: | http://utpedia.utp.edu.my/id/eprint/18406/1/Osama_PrintThesis01.pdf http://utpedia.utp.edu.my/id/eprint/18406/ |
タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
類似資料
-
Cell by cell artificial neural network model for predicting laminar, incompressible, viscous flow
著者:: Sabir, O., 等
出版事項: (2016) -
Cell by cell artificial neural network model for predicting laminar, incompressible, viscous flow
著者:: Sabir, O., 等
出版事項: (2016) -
Study of two-dimensional laminar flow in a polar cavity by Ansys Fluent
著者:: VilaVandran, Alfred Sagayam, 等
出版事項: (2012) -
Laminar nanofluid flow over periodic two dimensional rectangular baffled channels
著者:: Osia, Seyedel
出版事項: (2013) -
A new artificial neural network approach for fluid flow simulations
著者:: Sabir, O., 等
出版事項: (2014)