Prediction of CBR Value of Fine Grained Soils of Bengal Basin by Genetic Expression Programming, Artificial Neural Network and Krigging Method-Reference-Cited by-同舟云学术

Prediction of CBR Value of Fine Grained Soils of Bengal Basin by Genetic Expression Programming, Artificial Neural Network and Krigging Method

Published:2020-02 Issue:2 Volume:95 Page:190-196
ISSN:0016-7622
Container-title:Journal of the Geological Society of India
language:en
Short-container-title:J Geol Soc India

Author:

Alam Sk Kamrul,Mondal Abhijit,Shiuly Amit

Publisher

Springer Science and Business Media LLC

Subject

Geology

Link

http://link.springer.com/content/pdf/10.1007/s12594-020-1409-0.pdf

Reference37 articles.

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2. Chandrakar, V. and Yadav, R. K. (2016) Study of correlation of CBR value with engineering properties and index properties of coarse grained soil. Internat. Res. Jour. Engg. Tech (IRJET), v.3(11), pp.772–778.

3. Das, R., Wason, H.R. and Sharma, M. (2013) General Orthogonal Regression relation between body and moment magnitudes. Seismological Res. Lett., v.84(2), pp.219–224.

4. Das, R., Wason, H.R. and Sharma, M. (2011) Global regression relations for conversion of surface wave and body wave magnitudes to moment magnitude. Natural Hazards, v.59(2), pp.801–810.

5. Das, R., Wason, H.R. and Sharma, M. (2014) Unbiased Estimation of Moment from Body and Surface Wave Magnitude. Bull. Seismol. Soc. Amer., v. 104(4), pp.1802–1811.

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