The interrelationship between surface froth characteristics and industrial flotation performance

Minerals Engineering

Volumn 9, Issue 8, 1996, Pages 837-854

  Moolman, D W ^a   Aldrich, C ^a   Schmitz, G P J ^a   Van Deventer, J S J ^a  

^a STELLENBOSCH UNIVERSITY   (South Africa)

Author keywords

Flotation froths; Neural networks; Process modelling

Indexed keywords

ARTIFICIAL INTELLIGENCE; AUTOMATION; INFORMATION TECHNOLOGY; MATHEMATICAL MODELS; NEURAL NETWORKS; PROCESS CONTROL;

AUTOMATIC CONTROL SYSTEMS; COMPUTER TECHNOLOGY; INDUSTRIAL FLOTATION CONTROL; INTELLIGENT AUTOMATION SYSTEMS; PROCESS MODELLING; SAMMON MAPS; SELF ORGANIZING MAPS; SURFACE FROTH;

FROTH FLOTATION;

EID: 0030214708     PISSN: 08926875     EISSN: None     Source Type: Journal    
DOI: 10.1016/0892-6875(96)00076-3     Document Type: Article

References (12)

1. Villeneuve, J., Guillaneau, J.C. & Durnace, M.V., Flotation modelling: A wide range of solutions for solving industrial problems, Minerals Engineering, 8(4/5), 409-420 (1995).
2. Hulbert, D.G. & Henning, R.G.D., Flotation Plant Control, SAIMM School: Process Simulation, Control, and Optimisation, The South African Institute of Mining and Metallurgy, Randburg, 1-10 (18-20 Aug. 1993).
3. Moolman, D.W., Aldrich, C., Van Deventer, J.S.J. & Bradshaw, D.B., The interpretation of surface flotation froths using digital image analysis and neural networks, Chemical Engineering Science, 50(22), 3501-3513 (1995).
4. Haralick, R.M., Statistical and structural approaches to texture, Proceedings of the IEEE, 67(5), 786-803 (1979).
5. Moolman, D.W., Aldrich, C., Van Deventer, J.S.J. and Stange, W.W., Digital image processing as a tool for on-line monitoring of froth in flotation plants, Minerals Engineering, 7(9), 1149-1164 (1994).
6. Sun, C. & Wee, W.G., Neighbouring grey level dependence matrix for texture classification, Computer Vision, Graphics, and Image Processing, 23, 341-352 (1983).
7. Siew, L.H., Hodgson, R.M. & Wood, E.J., Texture Measures for Carpet Wear Assessment, IEEE Transactions on Pattern Analysis and Machine Intelligence, 10(1), 92-105 (1988).
8. Kohonen, T., The self-organising map. Proceedings of. IEEE, 78(9), 1464-1480 (1990).
9. Maren, A.J., Harston, C.T. & Pap, R.M., Handbook of Neural Computing Applications, Academic Press, Inc., San Diego, CA, USA, (1990).
10. Sammon, J.W., A non-linear mapping for data structure analysis. IEEE Transaction on Computers, C-18, 401-109 (1969).
11. Tatersall, G.D. & Limb, P.R., Visualisation techniques for data mining. BT Technology Journal, 12(4), 23-31 (1994).
12. Aldrich, C., Moolman, D.W., Eksteen, J.J. & van Deventer, J.S.J., Characterisation of notation processes with self-organising neural nets, Chemical Engineering Communications (in press), (1995).