Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Hend S. Zayan"'
Publikováno v:
Journal of Structural Integrity and Maintenance. 8:59-66
Publikováno v:
Innovative Infrastructure Solutions. 8
Publikováno v:
Journal of the Mechanical Behavior of Materials. 32
Based on published test findings, this article outlines the use of artificial neural networks (ANNs) to forecast the efficiency factor of shear transfer strength in concrete. Backpropagation neural networks with feed-forward have been employed. The A
Autor:
Hend S. Zayan, Akram S. Mahmoud
Publikováno v:
Geotechnical Engineering and Sustainable Construction ISBN: 9789811662768
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5acb3d544c87b1992650b5beea4ee204
https://doi.org/10.1007/978-981-16-6277-5_47
https://doi.org/10.1007/978-981-16-6277-5_47
Publikováno v:
Innovative Infrastructure Solutions; 4/4/2023, Vol. 8 Issue 5, p1-11, 11p
Publikováno v:
Journal of Structural Integrity & Maintenance; Mar2023, Vol. 8 Issue 1, p59-66, 8p
Autor:
Mahdi O. Karkush, Deepankar Choudhury
This book contains selected articles from the Second International Conference on Geotechnical Engineering-Iraq (ICGE-Iraq) held in Akre/Duhok/Iraq from June 22 to 23, 2021, to discuss the challenges, opportunities, and problems of geotechnical engine
Autor:
Biswajeet Pradhan
This book gathers the proceedings of the 1st Global Civil Engineering Conference, GCEC 2017, held in Kuala Lumpur, Malaysia, on July 25–28, 2017. It highlights how state-of-the-art techniques and tools in various disciplines of Civil Engineering ar