Predicting copper concentrations in acid mine drainage: a comparative analysis of five machine learning techniques

Title
Predicting copper concentrations in acid mine drainage: a comparative analysis of five machine learning techniques
Authors
Keywords
Acid mine drainage, Acid rock drainage, Machine learning, Artificial neural network, Support vector machine, Model tree, K-nearest neighbors
Journal
ENVIRONMENTAL MONITORING AND ASSESSMENT
Volume 185, Issue 5, Pages 4171-4182
Publisher
Springer Nature
Online
2012-09-15
DOI
10.1007/s10661-012-2859-7

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