A.X. Wu
,
Y. Xi
,
B.H. Yang
,
X.S. Chen
,
H.C. Jiang
,
null
,
null
,
null
,
null
,
null
金属学报(英文版)
A model GM (grey model) (1,1) for forecasting the rate of copper extraction during the bioleaching of primary sulphide ore was
established on the basis of the mathematical theory and the modeling process of grey system theory. It was used for forecasting the rate of copper extraction from the primary sulfide ore during a laboratory microbial column leaching experiment. The
precision of the forecasted results were examined and modified via "posterior variance examination". The results show that the
forecasted values coincide with the experimental values. GM (1,1) model has high forecast accuracy; and it is suitable for
simulation control and prediction analysis of the original data series of the processes that have grey characteristics, such as
mining, metallurgical and mineral processing, etc. The leaching rate of such copper sulphide ore is low. The grey forecasting
result indicates that the rate of copper extraction is approximately 20% even after leaching for six months.
关键词:
primary copper sulfide ore
,
null
,
null
