Artificial Neural Networks for the Prediction of Mechanical Properties of Soils

Author:

Delgado Lusdali CastilloORCID,Maldonado Daniel Enrique PortaORCID,Soria Juan J.ORCID,Flores Leopoldo ChoqueORCID

Publisher

Springer International Publishing

Reference20 articles.

1. Araujo, W., Ruiz, G.: Correlation equations of CBR with index properties of soils in the city of Piura, p. 69 (2016)

2. Pérez Eloarza, H.: Statistics for the Social, Behavioral and Health Sciences, 3a. edició. Cengage Learning Editores, S.A. de C.V., una Compañía de Cengage Learning, Inc. Corporativo Santa Fe, México (2008)

3. Alemán Morales, D.: Artificial Intelligence Techniques Applied to Civil Engineering Problems, vol. 6, pp. 164–175 (2017)

4. Vila Zuñiga, R.: Analysis of the linear behavior of the flexible pavement structure by means of neural networks on the Panamericana Norte highway. Universidad del centro del Perú (2017)

5. Boza Capani, M., Merino Ortiz, R.: Shear strength parameters of soils from their physical properties using artificial neural networks and triaxial equipment. UNH, Universidad Nacional de Huancavelica (2018)

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