Prediction of FRUHPSCC mechanical property using developed hybrid neural networks
| Auteur(s): |
Alireza Rashno
(Department of Civil Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran)
Mohamadreza Adlparvar (Department of Civil Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran) Mohsen Izadinia (Department of Civil Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran) |
|---|---|
| Médium: | article de revue |
| Langue(s): | anglais |
| Publié dans: | Proceedings of the Institution of Civil Engineers - Construction Materials, mai 2024, n. 3, v. 177 |
| Page(s): | 1-15 |
| DOI: | 10.1680/jcoma.22.00072 |
- Informations
sur cette fiche - Reference-ID
10725752 - Publié(e) le:
30.05.2023 - Modifié(e) le:
20.06.2024
Structurae coopère avec
