Prediction of thermal conductivity of granitic rock: an application of arithmetic and salp swarm algorithms optimized ANN

Author:

Lawal Abiodun Ismail,Kwon Sangki,Kim Minju,Aladejare Adeyemi Emman,Onifade Moshood

Funder

National Research Foundation of Korea

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences

Reference40 articles.

1. Abualigah L, Diabat A, Mirjalili S, Abd Elaziz M, Gandomih AH (2021) The arithmetic optimization algorithm. Comput Methods Appl Mech Engrg 376:113609. https://doi.org/10.1016/j.cma.2020.113609

2. Aladejare AE, Kärenlampi K, Lawal AI (2020) Application of artificial intelligence for characterization of rocks from Otanmäki, Finland. In: 54th US Rock Mechanics/Geomechanics Symposium. OnePetro ARMA-2020-1452

3. Aladejare AE, Alofe ED, Onifade M, Lawal AI, Ozoji TM, Zhang ZX (2021) Empirical estimation of uniaxial compressive strength of rock: database of simple, multiple, and artificial intelligence-based regressions. Geotech Geol Eng 39:4427–4455. https://doi.org/10.1007/s10706-021-01772-5

4. ASTM (1983) Test methods for ultra violet velocities determination. American Society for Testing Materials D2845

5. ASTM (2001) Standard practice for preparing rock core specimens and determining dimensional and shape tolerances. American Society for Testing Materials D4543

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