Estimation of Rock Shear Strength Parameters from Geophysical Indicators Using an Equilibrium-Optimized Multilayer Perceptron
A hybrid machine learning framework for estimating cohesion and internal friction angle from geophysical and mechanical indicators is developed and provides an indirect data-driven tool for estimating shear strength parameters and can complement engineering-geological investigation and rock engineering design.