Reply to “Discussion: A Comparative study on the application of artificial intelligence networks versus regression analysis for the prediction of clay plasticity [Arab J Geosci (2021) 14(7): 534] Brendan O’Kelly and Amin Soltani”-Reference-Cited by-同舟云学术

Reply to “Discussion: A Comparative study on the application of artificial intelligence networks versus regression analysis for the prediction of clay plasticity [Arab J Geosci (2021) 14(7): 534] Brendan O’Kelly and Amin Soltani”

Published:2021-11-29 Issue:23 Volume:14 Page:
ISSN:1866-7511
Container-title:Arabian Journal of Geosciences
language:en
Short-container-title:Arab J Geosci

Author:

Akbay Arama Zülal^ORCID,Yücel Melda^ORCID,Akin Muhammed Selahaddin^ORCID,Dalyan İlknur^ORCID

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://link.springer.com/content/pdf/10.1007/s12517-021-08977-1.pdf

Reference34 articles.

1. Akbay Arama Z, Yücel M, Akın MS, Dalyan İ (2021) A comparative study on the application of artificial intelligence networks versus regression analysis for the prediction of clay plasticity. Arab J Geosci 14:534

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3. ASTM D-4318 (2008) Standard test methods for liquid limit, plastic limit, and plasticity index of soils. Annual Book of ASTM Standarts

4. Bartlett SF, Lee Hap Sok (2004) Estimation of compression properties of clayey soils of Salt Lake Utah. Utah Department of Transportation Research Division. www.civil.utah.edu/bartlett/CVEEN6340/compressionratio.pdf. Accessed 20 August 2021

5. Dalgıc S, Turgut Kusku I, Coskun C, Cosgun T (2009) İstanbul’un avrupa yakasındaki zemin ve kaya koşullarının bina temellerine etkisi. Uygulamalı Yerbilimleri Dergisi 2:47–70

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