H.3.2.5. Environment
Ensemble of M5 Model Tree Based Modelling of Sodium Adsorption Ratio

M. T. Sattari; M. Pal; R. Mirabbasi; J. Abraham

Volume 6, Issue 1 , March 2018, , Pages 69-78

http://dx.doi.org/10.22044/jadm.2017.5540.1663

Abstract
  This work reports the results of four ensemble approaches with the M5 model tree as the base regression model to anticipate Sodium Adsorption Ratio (SAR). Ensemble methods that combine the output of multiple regression models have been found to be more accurate than any of the individual models making ...  Read More

H.3.2.5. Environment
Multi-Output Adaptive Neuro-Fuzzy Inference System for Prediction of Dissolved Metal Levels in Acid Rock Drainage: a Case Study

H. Fattahi; A. Agah; N. Soleimanpourmoghadam

Volume 6, Issue 1 , March 2018, , Pages 121-132

http://dx.doi.org/10.22044/jadm.2017.975

Abstract
  Pyrite oxidation, Acid Rock Drainage (ARD) generation, and associated release and transport of toxic metals are a major environmental concern for the mining industry. Estimation of the metal loading in ARD is a major task in developing an appropriate remediation strategy. In this study, an expert system, ...  Read More