Comparative evaluation of different statistical tools for the prediction of uniaxial compressive strength of rocks

Comparative evaluation of different statistical tools for the prediction of uniaxial compressive strength of rocks

In this study, uniaxial compressive strength (UCS), unit weight (UW), Brazilian tensile strength (BTS), Schmidt hardness (SHH), Shore hardness (SSH), point load index (Is50) and P-wave velocity (Vp) properties were determined. To predict the UCS, simple regression (SRA), multiple regression (MRA), a...

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Bibliographic Details
Main Authors: Ahmet Teymen, Engin Cemal Mengüç
Format: Article
Language:English
Published: Elsevier 2020-11-01
Series:International Journal of Mining Science and Technology
Subjects:
Uniaxial compressive strength
Adaptive neuro-fuzzy inference system
Multiple regression
Artificial neural network
Genetic expression programming
Online Access:http://www.sciencedirect.com/science/article/pii/S2095268620300501

Internet

http://www.sciencedirect.com/science/article/pii/S2095268620300501

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