A Kernel Extreme Learning Machine-Grey Wolf Optimizer (KELM-GWO) Model to Predict Uniaxial Compressive Strength of Rock

A Kernel Extreme Learning Machine-Grey Wolf Optimizer (KELM-GWO) Model to Predict Uniaxial Compressive Strength of Rock

Uniaxial compressive strength (UCS) is one of the most important parameters to characterize the rock mass in geotechnical engineering design and construction. In this study, a novel kernel extreme learning machine-grey wolf optimizer (KELM-GWO) model was proposed to predict the UCS of 271 rock sampl...

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Bibliographic Details
Main Authors: Chuanqi Li, Jian Zhou, Daniel Dias, Yilin Gui
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Applied Sciences
Subjects:
uniaxial compressive strength (UCS)
grey wolf optimizer (GWO)
kernel extreme learning machine (KELM)
mean impact value (MIV)
Online Access:https://www.mdpi.com/2076-3417/12/17/8468

Internet

https://www.mdpi.com/2076-3417/12/17/8468

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