Akademik Veri Yönetim Sistemi
Environmental Earth Sciences, ss.448-472, 2021 (SCI-Expanded, Scopus)
In recent years, several soft computing models have been proposed to estimate the elastic modulus of magmatic rocks. However, there are lacks in models that consider the diferent weathering degrees in determining the elastic modulus of rocks. In
the literature, mechanical properties are widely used as inputs in predictive models for weathered rocks; however, there are
only a few models that use index properties representing the efect of weathering on magmatic rocks. In this study, support
vector regression (SVR) Gaussian process regression (GPR), and artifcial neural network (ANN) models were developed to
predict the elastic modulus of magmatic rocks with diferent degrees of weathering. The inputs selected by the best subset
regression approach were porosity, P-wave velocity, and slake durability index. Key performance indicators (KPIs) were
computed to validate the accuracy of the developed models. In addition to KPIs, Taylor diagrams and regression error characteristic (REC) curves were used to assess the performance of the developed prediction models. In this study, considering
the difculties of expressing the error using only RMSE and MAE, a new performance index (PI), PIMAE, was proposed
using normalized MAE instead of normalized RMSE. It was also indicated that PIRMSE and PIMAE should be used together
in performance analysis. When considering the Taylor diagram, PIRMSE, and PIMAE, the GPR models performed best, and
the SVR model performed the worst in both the training and test periods. Similarly, according to the REC curve in both
periods, the performance of the SVR was the worst, while the performance of the ANN model was the best. The PIRMSE and
PIMAE values of the GPR model for the test data were 1.3779 and 1.4142, respectively, and they were 1.2567 and 1.4139,
respectively, for the ANN model. According to the computed response surfaces, an increase in the P-wave velocity, and a
decrease in the porosity increased the elastic modulus. However, changes in slake durability index only had a minor efect
on the elastic modulus.