Application of Artificial Neural Network in Estimation of Hydrocyclone Parameters

The Australasian Institute of Mining and Metallurgy
Fung C. C Gupta A
Organization:
The Australasian Institute of Mining and Metallurgy
Pages:
6
File Size:
653 KB
Publication Date:
Jan 1, 1996

Abstract

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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.
Citation

APA: Fung C. C Gupta A  (1996)  Application of Artificial Neural Network in Estimation of Hydrocyclone Parameters

MLA: Fung C. C Gupta A Application of Artificial Neural Network in Estimation of Hydrocyclone Parameters. The Australasian Institute of Mining and Metallurgy, 1996.

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