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Prediction of California Bearing Ratio Using Soil Index Properties by Regression and Machine-Learning Techniques
Prediction of California Bearing Ratio Using Soil Index Properties by Regression and Machine-Learning Techniques
Prediction of California Bearing Ratio Using Soil Index Properties by Regression and Machine-Learning Techniques
Int. J. Pavement Res. Technol.
Khasawneh, Mohammad A. (Autor:in) / Al-Akhrass, Haneen I. (Autor:in) / Rabab’ah, Samer R. (Autor:in) / Al-sugaier, Ahmed O. (Autor:in)
International Journal of Pavement Research and Technology ; 17 ; 306-324
01.03.2024
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Prediction of California Bearing Ratio from Soil Index Properties Using Artificial Neural Network
Springer Verlag | 2024
|DOAJ | 2022
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