The estimation of platinum flotation grade from froth image features by using artificial neural networks
The use of machine vision in the monitoring and control of metallurgical plants has become a very attractive option in the last decade, especially since computing power has increased drastically inthe last few years. The use of cameras as a non-intrusive measurement mechanism not only holds the prom...
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| Format: | Journal Article |
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The Southern African Institute of Mining and Metallurgy
2011
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| Online Access: | http://hdl.handle.net/20.500.11937/29753 |