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Illumination of parameter contributions on uneven break: phenomenon in underground stoping mines 被引量:2
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作者 Jang Hyongdoo Topal Erkan Kawamura Youhei 《International Journal of Mining Science and Technology》 SCIE EI CSCD 2016年第6期1095-1100,共6页
One of the most serious conundrum facing the stope production in underground metalliferous mining is uneven break (UB: unplanned dilution and ore-loss). Although the UB has a huge economic fallout to the entire min... One of the most serious conundrum facing the stope production in underground metalliferous mining is uneven break (UB: unplanned dilution and ore-loss). Although the UB has a huge economic fallout to the entire mining process, it is practically unavoidable due to the complex causing mechanism. In this study, the contribution of ten major UB causative parameters ha,; been scrutinised based on a published UB predicting artificial neuron network (ANN) model to put UB under the engineering management. Two typical ANN sensitivity analysis methods, i.e., connection weight algorithm (CWA) and profile method (PM) have been applied. As a result of CWA and PM applications, adjusted Qrate (AQ) revealed as the most influential parameter to UB with contribution of 22,40% in CWA and 20,48% in PM respectively. The findings of this study can be used as an important reference in stope design, production, and reconciliation stages on underground stoping mine. 展开更多
关键词 Unplanned dilution Ore-loss Underground metalliferous mining Uneven break Artificial neuron network
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