Article ID Journal Published Year Pages File Type
6642733 Fuel 2013 7 Pages PDF
Abstract
► We predict the pyrite oxidation applying artificial neural networks (AANs). ► In comparison to classical techniques, fewer parameters are needed for prediction. ► Unlike mathematical models, ANN makes no prior assumptions about data distribution. ► Pyrite content remained within the waste particles increases gradually with depth.
Related Topics
Physical Sciences and Engineering Chemical Engineering Chemical Engineering (General)
Authors
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