دورية أكاديمية
Neural network application in forecasting maximum wall deflection in homogenous clay
| العنوان: | Neural network application in forecasting maximum wall deflection in homogenous clay |
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| المؤلفون: | Khalid R. Aljanabi, Osamah M. AL-Azzawi |
| المصدر: | International Journal of Geo-Engineering, Vol 12, Iss 1, Pp 1-18 (2021) |
| بيانات النشر: | SpringerOpen, 2021. |
| سنة النشر: | 2021 |
| المجموعة: | LCC:Hydraulic engineering |
| مصطلحات موضوعية: | Maximum wall deflection, Braced excavation, Homogeneous clay, Neural network, Forecasting, Hydraulic engineering, TC1-978 |
| الوصف: | Highlights Neural Networks was used to forecast maximum deflection of braced excavation in homogeneous clay and its position. A sensitivity analysis was accomplished to examine the relative significance of the parameters that influence the models. The results confirm that the developed ANN model is able to predict maximum deflection and its position reliably. Design charts were developed based on the ANN model. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2092-9196 2198-2783 |
| العلاقة: | https://doaj.org/toc/2092-9196Test; https://doaj.org/toc/2198-2783Test |
| DOI: | 10.1186/s40703-021-00158-z |
| الوصول الحر: | https://doaj.org/article/3d6713c5d9ed41219bdbe2df76c18427Test |
| رقم الانضمام: | edsdoj.3d6713c5d9ed41219bdbe2df76c18427 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 20929196 21982783 |
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| DOI: | 10.1186/s40703-021-00158-z |