| contributor author | Pijush | |
| contributor author | Samui | |
| contributor author | Pradeep | |
| contributor author | Kurup | |
| date accessioned | 2017-05-08T21:45:26Z | |
| date available | 2017-05-08T21:45:26Z | |
| date copyright | February 2013 | |
| date issued | 2013 | |
| identifier other | %28asce%29gm%2E1943-5622%2E0000185.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/61572 | |
| description abstract | This article uses the relevance vector machine (RVM) for the prediction of the overconsolidation ratio (OCR) of fine-grained soils based on piezocone penetration test data. RVM provides an empirical Bayes method of function approximation by kernel basis expansion. It uses the corrected cone resistance ( | |
| publisher | American Society of Civil Engineers | |
| title | Use of the Relevance Vector Machine for Prediction of an Overconsolidation Ratio | |
| type | Journal Paper | |
| journal volume | 13 | |
| journal issue | 1 | |
| journal title | International Journal of Geomechanics | |
| identifier doi | 10.1061/(ASCE)GM.1943-5622.0000172 | |
| tree | International Journal of Geomechanics:;2013:;Volume ( 013 ):;issue: 001 | |
| contenttype | Fulltext | |
