| contributor author | Miguel P. Romo | |
| contributor author | Silvia R. García | |
| contributor author | Manuel J. Mendoza | |
| contributor author | Victor Taboada‐Urtuzuástegui | |
| date accessioned | 2017-05-08T21:31:41Z | |
| date available | 2017-05-08T21:31:41Z | |
| date copyright | October 2001 | |
| date issued | 2001 | |
| identifier other | %28asce%291532-3641%282001%291%3A4%28371%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/54891 | |
| description abstract | This article presents and discusses various aspects regarding the modeling of the behavior of a coarse granular material using Recurrent Neural Networks (RNNs) and Constructive Algorithms (CAs). A series of undrained triaxial tests following compression stress paths was performed to develop the database for neural network training and testing, where the relative density (D | |
| publisher | American Society of Civil Engineers | |
| title | Recurrent and Constructive‐Algorithm Networks For Sand Behavior Modeling | |
| type | Journal Paper | |
| journal volume | 1 | |
| journal issue | 4 | |
| journal title | International Journal of Geomechanics | |
| identifier doi | 10.1061/(ASCE)1532-3641(2001)1:4(371) | |
| tree | International Journal of Geomechanics:;2001:;Volume ( 001 ):;issue: 004 | |
| contenttype | Fulltext | |
