HIGHLIGHTS
- who: Majid Safaei-Farouji from the SchoolUniversity of have published the paper: An advanced computational intelligent framework to predict shear sonic velocity with application to mechanical rock classification, in the Journal: Scientific Reports Scientific Reports
- what: The authors seek physically sound relationships between shear velocity (Vs) as the output and other logging data as the inputs. In the present study, the Vp data points were divided into five sections, and the average AAPRE for each section was calculated.
- how: In this research a Gaussian function was applied. The performance of the constructed models . . .
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