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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Hemijska industrija Ročník 74; číslo 4; s. 247 - 256
Hlavní autori:	Saldaña, Manuel, Ayala, Luis, Torres, David, Toro, Norman
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Belgrade Association of Chemical Engineers of Serbia 01.01.2020 Hemijska Industrija
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!