Estimation of deformation modulus of coals using artificial neural networks (ANN)

In this study, the Young modulus (E) of different coals was investigated using artificial neural networks (ANN). For purpose, a comprehensive literature survey carried out to compile such datasets available for ANN analyses. As result survey, database composed 81 formed. analyses, uniaxial compressive strength (UCS) and dry density (ρd) were adopted as input parameters. The analysis results demonstrated that predictive model established in study could be reliably used estimate E coals. correlation determination value (R2) developed is 0.85, which shows its relative success. context, can declared case showing applicability evaluation wide range coal types. However, number samples independent variables should increased obtain more models future studies.