CHARACTERIZATION OF FLOTATION PROCESSES WITH SELF-ORGANIZING NEURAL NETS
作者： CHRIS ALDRICH , DERICK W. MOOLMAN , JACQUES J. EKSTEEN , JANNIE S. J. VAN DEVENTER
DOI: 10.1080/00986449508936396
关键词: Process (engineering) 、 Engineering 、 Characterization (materials science) 、 Pattern recognition 、 Artificial intelligence 、 Structure (mathematical logic) 、 Cluster analysis 、 Operations research 、 Artificial neural network 、 Identification (information) 、 Classifier (linguistics)
摘要: Flotation processes are difficult to describe fundamentally, owing the stochastic nature of froth structures and ill-defined chemorheology froth. Considerable information on process is reflected by structure In previous work it has been shown that structural features extracted from flotation froths can be related behavior in a qualitative way through identification certain behavioral regimes or classes using supervised neural net as classifier. Although useful an aid control decisions, this method less suitable for quantitative dynamic analysis plants. paper new plants consequently proposed, based use order preserving maps digitized images phase. The construction these means self-organizing demonstrated examples concerning industri...
sci-hub.se 参考文章(7)
D.W. Moolman, C. Aldrich, J.S.J. van Deventer, W.W. Stange, The classification of froth structures in a copper flotation plant by means of a neural net International Journal of Mineral Processing. ,vol. 43, pp. 193- 208 ,(1995) , 10.1016/0301-7516(95)00003-V
D.W. Moolman, C. Aldrich, J.S.J. Van Deventer, W.W. Stange, Digital image processing as a tool for on-line monitoring of froth in flotation plants Minerals Engineering. ,vol. 7, pp. 1149- 1164 ,(1994) , 10.1016/0892-6875(94)00058-1
Robert M. Haralick, K. Shanmugam, Its'Hak Dinstein, Textural Features for Image Classification IEEE Transactions on Systems, Man, and Cybernetics. ,vol. SMC-3, pp. 610- 621 ,(1973) , 10.1109/TSMC.1973.4309314
Chengjun Sun, William G Wee, Neighboring gray level dependence matrix for texture classification Graphical Models \/graphical Models and Image Processing \/computer Vision, Graphics, and Image Processing. ,vol. 23, pp. 341- 352 ,(1983) , 10.1016/0734-189X(83)90032-4
R.M. Haralick, Statistical and structural approaches to texture Proceedings of the IEEE. ,vol. 67, pp. 786- 804 ,(1979) , 10.1109/PROC.1979.11328
L.H. Siew, R.M. Hodgson, E.J. Wood, Texture measures for carpet wear assessment IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 10, pp. 92- 105 ,(1988) , 10.1109/34.3870
Alianna J. Maren, Craig T. Harston, Robert M. Pap, Handbook of Neural Computing Applications ,(1990)