Visualisation of plant disturbances using self-organising maps

Computers and Chemical Engineering

Volumn 20, Issue SUPPL.2, 1996, Pages

  Van Deventer, Jannie S J ^a   Moolman, Derick W ^b   Aldrich, Chris ^b  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b STELLENBOSCH UNIVERSITY   (South Africa)

Author keywords

[No Author keywords available]

Indexed keywords

PROCESS DISTURBANCES;

FROTH FLOTATION; NEURAL NETWORKS; ONLINE SYSTEMS; OPERATIONS RESEARCH; PROCESS CONTROL; TEXTURES; VISUALIZATION;

COMPUTER VISION;

EID: 0029709515     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/0098-1354(96)00190-1     Document Type: Article

References (8)

1. Annandale, G.J., Lorenzen, L., Van Deventer, J.S.J. and Aldrich, C., 1995, Neural net analysis of the liberation of gold using diagnostic leaching data. Minerals Engineering 8, in press.
2. Haralick, R.M., Shanmugan, K. and Dinstein, I., 1973, Textural features for image classification. IEEE Trans. Syst. Man. Cybern. 3 (6), 610-621.
3. Maren, A.J., Harston, C.T. and Pap, R.M, 1992, Handbook of Neural Computing Applications, Academic Press.
4. Moolman, D.W., Aldrich, C., Van Deventer, J.S.J. and Stange, W.W., 1994, Digital image processing as a tool for on-line monitoring of froth in flotation plants. Minerals Engineering 7(9), 1149-1164.
5. Moolman, D.W., 1995, The interpretation of flotation froths using computer vision and connectionist networks. Ph.D. thesis, University of Stellenbosch, Stellenbosch, South Africa.
6. Moolman, D.W., Aldrich, C. and Van Deventer, J.S.J., 1995a, The videographic characterization of flotation froths using neural networks. Neural Networks for Chemical Engineers, Chapter 21, 525-545, Ed. A.B. Bulsari, Elsevier Science B.V., Amsterdam.
7. Moolman, D.W., Aldrich, C., Van Deventer, J.S.J. and Bradshaw, D.J., 1995b, The interpretation of flotation froth surfaces by using digital image analysis and neural networks. Chem. Engng. Sci., in press.
8. Sun, C. and Wee, W.G., 1983, Neighboring grey level dependence matrix for texture classification. Computer Vision, Graphics, and image Processing 23, 341-352.