Back propagation neural network in determination of parameter d50c of Hydrocyclones

H. Eren; C.C. Fung; K.W. Wong

doi:10.1109/TENCON.1996.608773

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Back propagation neural network in determination of parameter d50c of Hydrocyclones

H. Eren, C.C. Fung and K.W. Wong

Proceedings of Digital Processing Applications (TENCON '96), Vol.1, pp.163-166

IEEE

Proceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference (Perth, Western Australia, 26/11/1996–29/11/1996)

1996

DOI: https://doi.org/10.1109/TENCON.1996.608773

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Abstract

The d50c, an important parameter of Hydrocyclones can accurately be determined by using backpropagation neural network (BPNN). The BPNN yields in high predictions with good correlated data. The results may be used in generating useful signals for the automatic control of Hydrocyclones.

Details

Title: Back propagation neural network in determination of parameter d50c of Hydrocyclones
Authors/Creators: H. Eren (Author/Creator) - Curtin University
C.C. Fung (Author/Creator)
K.W. Wong (Author/Creator)
Publication Details: Proceedings of Digital Processing Applications (TENCON '96), Vol.1, pp.163-166
Conference: Proceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference (Perth, Western Australia, 26/11/1996–29/11/1996)
Publisher: IEEE
Identifiers: 991005544882207891
Murdoch Affiliation: Murdoch University
Language: English
Resource Type: Conference paper

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