Predicting California Bearing Ratio with Ensemble and Neural Network Models: A Case Study from Turkiye

Fuente: arXiv

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Bibliographic Details
Main Authors:	Kökçam, Abdullah Hulusi, Dağdeviren, Uğur, Kurnaz, Talas Fikret, Demir, Alparslan Serhat, Erden, Caner
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Machine Learning 62J05, 68T07, 62M45, 86A32 I.2.6; I.2.1; G.3; J.2
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2512.08340