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A hybrid computing model to predict rock strength index properties using support vector regression

Author
Shahri, A.; Maghsoudi Moud, F.; Mirfallah, S.
Type of activity
Journal article
Journal
Engineering with computers
Date of publication
2020-06-11
DOI
10.1007/s00366-020-01078-9
URL
https://link.springer.com/article/10.1007%2Fs00366-020-01078-9 Open in new window
Abstract
The uniaxial compressive strength (UCS) and elasticity modulus (E) are two of the most quoted rock strength parameters in engineering application. Due to approved technical difficulties indirect measurements, the tendency for determining these parameters through predictive models using simpler and cheaper tests in practical oriented applications have widely been highlighted. In this paper, a new hybridized multi-objective support vector regression (MSVR) model integrated with the firefly metaheu...
Keywords
Firefly algorithm, Hybrid model, Multi-objective, Predictability level, Quarried stone, Rock strength

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