| contributor author | Vahid Nourani | |
| contributor author | Ali Babakhani | |
| date accessioned | 2017-05-08T21:40:36Z | |
| date available | 2017-05-08T21:40:36Z | |
| date copyright | March 2013 | |
| date issued | 2013 | |
| identifier other | %28asce%29cp%2E1943-5487%2E0000207.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/59179 | |
| description abstract | In this study, the radial basis function (RBF) spatial interpolation method was used to estimate the potential water heads through an earthen dam. The multiquadric (MQ) function was used to discretize the seepage governing partial differential equation and related boundary conditions. The function contains a shape coefficient of | |
| publisher | American Society of Civil Engineers | |
| title | Integration of Artificial Neural Networks with Radial Basis Function Interpolation in Earthfill Dam Seepage Modeling | |
| type | Journal Paper | |
| journal volume | 27 | |
| journal issue | 2 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/(ASCE)CP.1943-5487.0000200 | |
| tree | Journal of Computing in Civil Engineering:;2013:;Volume ( 027 ):;issue: 002 | |
| contenttype | Fulltext | |
