Prediction of UCS and CBR of a stabilized Black-cotton soil using artificial intelligence approach: ANN-Reference-Cited by-同舟云学术

Prediction of UCS and CBR of a stabilized Black-cotton soil using artificial intelligence approach: ANN

Published:2023-05 Issue: Volume: Page:
ISSN:2214-7853
Container-title:Materials Today: Proceedings
language:en
Short-container-title:Materials Today: Proceedings

Author:

Vamsi Krishna S.H.,Sai Santosh B.,Sai Prasanth B.H.S.

Publisher

Elsevier BV

Subject

General Medicine

Reference15 articles.

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2. Application of artificial neural networks in predicting subbase CBR values using soil indices data;Al-Busultan;IOP Conf. Ser.: Mater. Sci. Eng.,2020

3. Application of Artificial Neural Networks in Predicting Subbase CBR Values Using Soil Indices Data, R.D., Jadhao, P.D., 2020. Prediction of CBR Value of Stabilized Black Cotton Soil use for Road Construction. Int. J. Eng. Adv. Technol. (IJEAT) 9, 2317–2322. https://doi.org/10.35940/ijeat.C5667.029320.

4. Application of artificial neural networking technique to predict the geotechnical aspects of expansive soil: A review;Goutham;IJEM,2021

5. Prediction of California bearing ratio of a stabilized expansive soil using artificial neural network and support vector machine;Ghorbani;Soils Found.,2018

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