Applying different soft computing methods to predict mechanical properties of carbonate rocks based on petrographic and physical properties

Author:

Fattahi HadiORCID,Shirinzade Mohammad Ali

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences

Reference98 articles.

1. Ajalloeian R, Mansouri H, Baradaran E (2017) Some carbonate rock texture effects on mechanical behavior, based on Koohrang tunnel data. Iran Bull Eng Geology Envir 76:295–307

2. Alizadeh M, Shabani A, Kavianpour M (2017) Predicting longitudinal dispersion coefficient using ANN with metaheuristic training algorithms International journal of environmental science and technology 14:2399–2410

3. Altındağ R, Güney A (2010) Predicting the relationships between brittleness and mechanical properties (UCS, TS and SH) of rocks Scientific Research and Essays 5:2107–2118

4. Arif M, Bukhari S, Muhammad N, Sajid M (2013) Petrography and physicomechanical properties of rocks from the Ambela granitic complex. NW Pakistan The Scientific World Journal 2013:1–9

5. Armaghani DJ, Amin MFM, Yagiz S, Faradonbeh RS, Abdullah RA (2016) Prediction of the uniaxial compressive strength of sandstone using various modeling techniques. Int J Rock Mech Min Sci 85:174–186

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