Global sensitivity analyses of a neural networks model for a flotation circuit

Modeling of flotation processes is complex due to the large number of variables involved and the lack of knowledge on the impact of operational parameters on the response(s), and given this problem, machine learning algorithms emerge as an alternative interesting when modeling dynamic processes. In...

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Bibliographic Details
Published in:	Hemijska industrija Vol. 74; no. 4; pp. 247 - 256
Main Authors:	Saldaña, Manuel, Ayala, Luis, Torres, David, Toro, Norman
Format:	Journal Article
Language:	English
Published:	Belgrade Association of Chemical Engineers of Serbia 01.01.2020 Hemijska Industrija
Subjects:	Algorithms Analysis Artificial neural networks Circuits Data mining Dependent variables Flotation Flow velocity Gas flow Learning theory Machine learning Mathematical models mineral processing modeling Modelling Neural networks Parameters Particle density (concentration) Process variables Recovery Sensitivity analysis sulfides Surface tension Chile
ISSN:	0367-598X, 2217-7426
Online Access:	Get full text
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