Determination of the California Bearing Ratio of the Subgrade and Granular Base Using Artificial Neural Networks

The objective of the research is to estimate the value of the California bearing ratio (CBR) through the application of ANN. The methodology consists of creating a database with soil index and CBR variables of the subgrades and granular base of pavements in Jaen, Peru, carried out in the soil mecha...

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Bibliographic Details
Main Authors: Jose Manuel Palomino Ojeda, Billy Alexis Cayatopa Calderon, Lenin Quiñones Huatangari, Wilmer Rojas Pintado
Format: Article
Language:English
Published: Taiwan Association of Engineering and Technology Innovation 2023-05-01
Series:International Journal of Engineering and Technology Innovation
Subjects:
Online Access:https://ojs.imeti.org/index.php/IJETI/article/view/11053