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

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

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 sy...

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Bibliographic Details
Main Authors:	H. Fattahi, A. Agah, N. Soleimanpourmoghadam
Format:	Article
Language:	English
Published:	Shahrood University of Technology 2018-03-01
Series:	Journal of Artificial Intelligence and Data Mining
Subjects:	Acid rock drainage MANFIS Grid partitioning Subtractive clustering method Fuzzy C-means clustering method
Online Access:	http://jad.shahroodut.ac.ir/article_975_43b79b2985fa0adaff2a9853f670293f.pdf

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