Name
Title | ||
|---|---|---|
Discussion on "Models to predict the deformation modulus and the coefficient of subgrade reaction for earth filling structures" by Ismail Dinçer [Adv. Eng. Software 42 (2011) 160-171] |
Abstract | ||
|---|---|---|
Dincer [1] applied artificial neural networks (ANNs) to derive new prediction models for deformation modulus and coefficient of subgrade reaction of compacted soils. The models were developed upon several plate load, proctor and sand-cone test results on different soil types. This discussion paper presents controversial points regarding the reliability and applicability of the presented ANN models. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.advengsoft.2012.06.001 | Advances in Engineering Software |
Keywords | Field | DocType |
new prediction model,ismail din,plate load,ann model,different soil type,subgrade reaction,sand-cone test result,controversial point,compacted soil,deformation modulus,artificial neural network,discussion paper,robustness,reliability,soil structure,artificial neural networks | Geotechnical engineering,Computer science,Modulus,Software,Deformation (mechanics),Artificial neural network,Structural engineering,Subgrade | Journal |
Volume | ISSN | Citations |
52, | 0965-9978 | 1 |
PageRank | References | Authors |
0.48 | 4 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amir Hossein Alavi | 1 | 1016 | 45.59 |
| Amir Hossein Gandomi | 2 | 1836 | 110.25 |