Assessment of fine-grained soil compaction parameters using advanced soft computing techniques

Author:

Khatti JitendraORCID,Grover Kamaldeep SinghORCID

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference80 articles.

1. Ajalloeian R, Mojtaba K (2015) Predicting maximum dry density, optimum moisture content and California bearing ratio (CBR) through soil index using ordinary least squares (OLS) and artificial neural networks (ANNS). Int J Innov Technol Explor Eng 3(3):1–5

2. Alim MA, Akhi AH, Alam MA, Roknuzzaman M (2021) Prediction of compaction characteristics of soil using plastic limit, Proceedings of International Conference on Planning, Architecture & Civil Engineering held at Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh, 215–220

3. Al-Jabban W, Laue J, Knutsson S, Al-Ansari N (2019) Effect of disintegration times of the homogeneity of soil prior to treatment. Appl Sci 9(22):4791. https://doi.org/10.3390/app9224791

4. Al-Khafaji AN (1993) Estimation of soil compaction parameters by means of Atterberg limits. Q J Eng GeolHydrogeol 26:359–368. https://doi.org/10.1144/GSL.QJEGH.1993.026.004.10

5. Al-Saffar R, Khattab S (2013) Prediction of soil's compaction parameter using artificial neural network. Al-Rafidain Engineering Journal (AREJ) 21(3):15–27. https://doi.org/10.33899/rengj.2013.75444

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