Artificial Neural Networks for the Prediction of Mechanical Properties of Soils
In road projects it is important to obtain a correct value of the mechanical properties of the soils since these come to have a great influence on the pavement designs. In reference to this, it is known that conducting tests by traditional methods implies a high...
Guardado en:
| Autores principales: | , , , |
|---|---|
| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
2021
|
| Acceso en línea: | Enlace permanente (DOI o Handle) |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1881508834884714496 |
|---|---|
| author | Castillo Delgado, Lusdali Porta Maldonado, Daniel Enrique Soria Quijaite, Juan Jesus Choque Flores, Leopoldo |
| author_browse | Castillo Delgado, Lusdali Choque Flores, Leopoldo Porta Maldonado, Daniel Enrique Soria Quijaite, Juan Jesus |
| author_facet | Castillo Delgado, Lusdali Porta Maldonado, Daniel Enrique Soria Quijaite, Juan Jesus Choque Flores, Leopoldo |
| author_sort | Castillo Delgado, Lusdali |
| collection | Producción científica |
| description | In road projects it is important to obtain a correct value of the mechanical properties of the soils since these come to have a great influence on the pavement designs. In reference to this, it is known that conducting tests by traditional methods implies a high... |
| format | Book chapter |
| id | oai:cris.upeu.edu.pe:20.500.15037/1002 |
| institution | UPeU |
| language | English |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| record_format | dspace |
| spelling | oai:cris.upeu.edu.pe:20.500.15037/10022026-11-02T22:00:04ZArtificial Neural Networks for the Prediction of Mechanical Properties of SoilsCastillo Delgado, LusdaliPorta Maldonado, Daniel EnriqueSoria Quijaite, Juan JesusChoque Flores, LeopoldoIn road projects it is important to obtain a correct value of the mechanical properties of the soils since these come to have a great influence on the pavement designs. In reference to this, it is known that conducting tests by traditional methods implies a high...Book chapter10.1007/978-3-030-90321-3_62https://hdl.handle.net/20.500.15037/1002W3212350807enLecture notes in networks and systems978303090320697830309032132367-33702367-33892021-01-012026-06-13T09:42:49Z2026-06-13T09:42:49Z |
| spellingShingle | Castillo Delgado, Lusdali Porta Maldonado, Daniel Enrique Soria Quijaite, Juan Jesus Choque Flores, Leopoldo Artificial Neural Networks for the Prediction of Mechanical Properties of Soils |
| title | Artificial Neural Networks for the Prediction of Mechanical Properties of Soils |
| title_full | Artificial Neural Networks for the Prediction of Mechanical Properties of Soils |
| title_fullStr | Artificial Neural Networks for the Prediction of Mechanical Properties of Soils |
| title_full_unstemmed | Artificial Neural Networks for the Prediction of Mechanical Properties of Soils |
| title_short | Artificial Neural Networks for the Prediction of Mechanical Properties of Soils |
| title_sort | artificial neural networks for the prediction of mechanical properties of soils |
| url | https://hdl.handle.net/20.500.15037/1002 |
| work_keys_str_mv | AT castillodelgadolusdali artificialneuralnetworksforthepredictionofmechanicalpropertiesofsoils AT portamaldonadodanielenrique artificialneuralnetworksforthepredictionofmechanicalpropertiesofsoils AT soriaquijaitejuanjesus artificialneuralnetworksforthepredictionofmechanicalpropertiesofsoils AT choquefloresleopoldo artificialneuralnetworksforthepredictionofmechanicalpropertiesofsoils |