Conference Proceedings
AusIMM Annual Conference, Perth, March 1996
Conference Proceedings
AusIMM Annual Conference, Perth, March 1996
Application of Artificial Neural Network in Estimation of Hydrocyclone Parameters
The hydrocyclone parameter d5Oc is estimated by the application of
Artificial Neural Network (ANN). Results indicate that ANN performs
equally well as compared to statically derived analytical formulae.
Results also show that ANN will also be convenient in the on-line control
of hydrocyclones.
Artificial Neural Network (ANN). Results indicate that ANN performs
equally well as compared to statically derived analytical formulae.
Results also show that ANN will also be convenient in the on-line control
of hydrocyclones.
Contributor(s):
H Eren, C C Fung, A Gupta
-
Application of Artificial Neural Network in Estimation of Hydrocyclone ParametersPDFThis product is exclusive to Digital library subscription
-
Application of Artificial Neural Network in Estimation of Hydrocyclone ParametersPDFNormal price $22.00Member price from $0.00
Fees above are GST inclusive
PD Hours
Approved activity
- Published: 1996
- PDF Size: 0.623 Mb.
- Unique ID: P199601003