Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Maryam Mabrook Almalki"'
Autor:
Maryam Mabrook Almalki, Eman Salem Alaidarous, Dalal Adnan Maturi, Muhammad Asif Zahoor Raja, Muhammad Shoaib
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Abstract In this study, the unsteady squeezing flow between circular parallel plates (USF-CPP) is investigated through the intelligent computing paradigm of Levenberg–Marquard backpropagation neural networks (LMBNN). Similarity transformation intro
Externí odkaz:
https://doaj.org/article/36dd863941894678935a831deb6f6823
Autor:
Maryam Mabrook Almalki, Eman Salem Alaidarous, Dalal Adnan Maturi, Muhammad Asif Zahoor Raja, Muhammad Shoaib
Publikováno v:
IEEE Access, Vol 8, Pp 227340-227348 (2020)
In this paper, the computational strength in terms of soft computing neural networks backpropagated with the efficacy of Levenberg-Marquard training (NN-BLMT) is presented to study the squeezing flow with the heat transfer model (SF-HTM). The governi
Externí odkaz:
https://doaj.org/article/362b7b0ffd9f44998f0e44b685e8abad
Autor:
Muhammad Shoaib, Maryam Mabrook Almalki, Eman S. Al-Aidarous, Muhammad Asif Zahoor Raja, Dalal Adnan Maturi
Publikováno v:
IEEE Access. 8:227340-227348
In this paper, the computational strength in terms of soft computing neural networks backpropagated with the efficacy of Levenberg-Marquard training (NN-BLMT) is presented to study the squeezing flow with the heat transfer model (SF-HTM). The governi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63e004e9f6514e5c4f078ce0749859f4
https://doi.org/10.1109/access.2020.3044973
https://doi.org/10.1109/access.2020.3044973
Autor:
Eman S. Al-Aidarous, Muhammad Asif Zahoor Raja, Maryam Mabrook Almalki, Muhammad Shoaib, Dalal Adnan Maturi
Publikováno v:
Coatings
Volume 11
Issue 7
Coatings, Vol 11, Iss 779, p 779 (2021)
Volume 11
Issue 7
Coatings, Vol 11, Iss 779, p 779 (2021)
The present study introduced the unsteady squeezing flow of two-dimensional viscous fluid with nanoparticles between two disks by using the Levenberg–Marquardt backpropagated neural network (LMB-NN). Conversion of the partial differential equations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5f84ecf2f562f785225c5a53d6b43b7
Autor:
Muhammad Asif Zahoor Raja, Dalal Adnan Maturi, Maryam Mabrook Almalki, Muhammad Shoaib, Eman S. Al-Aidarous
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
In this study, the unsteady squeezing flow between infinite parallel plates (USF-IPP) is investigated through the intelligent computing paradigm of Levenberg-Marquard backpropagation neural networks (LMBNN). Similarity transformation introduces the f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb28c3466cbbe965cdca50170988bfdb
https://doi.org/10.21203/rs.3.rs-400623/v1
https://doi.org/10.21203/rs.3.rs-400623/v1
