Title of article :
On-line ore characterisation and sorting
Author/Authors :
Cutmore، نويسنده , , N.G. and Liu، نويسنده , , Y and Middleton، نويسنده , , A.G، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 1998
Pages :
5
From page :
843
To page :
847
Abstract :
Ore sorting technology has great potential to allow the minerals industry to improve its competitive position through the exploitation of low grade ore reserves and in improved processing operations. The present paper reports on the development of microwave techniques by the CSIRO Division of Minerals to classify iron ore on the basis of predicted metallurgical performance, and the relationship to future ore sorting developments. The use of artificial neural net-based techniques for data analysis and ore classification are described.
Keywords :
NEURAL NETWORKS , Classification , iron ores , On-line analysis , Process instrumentation
Journal title :
Minerals Engineering
Serial Year :
1998
Journal title :
Minerals Engineering
Record number :
2273269
Link To Document :
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