Show simple item record

dc.contributor.authorJang, Hyong Doo
dc.contributor.authorYang, H.
dc.date.accessioned2017-01-30T13:06:04Z
dc.date.available2017-01-30T13:06:04Z
dc.date.created2016-02-02T19:30:23Z
dc.date.issued2014
dc.identifier.citationJang, H.D. and Yang, H. 2014. A Case Study of Prediction and Analysis of Unplanned Dilution in an Underground Stoping Mine using Artificial Neural Network. Tunnel & Underground Space. 24 (4): pp. 282-288.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/28613
dc.identifier.doi10.7474/TUS.2014.24.4.282
dc.description.abstract

Stoping method has been acknowledged as one of the typical metalliferous underground mining methods. Notwithstanding with the popularity of the method, the majority of stoping mines are suffering from excessive unplanned dilution which often becomes as the main cause of mine closure. Thus a reliable unplanned dilution management system is imperatively needed. In this study, reliable unplanned dilution prediction system is introduced by adopting artificial neural network (ANN) based on data investigated from one underground stoping mine in Western Australia. In addition, contributions of input parameters were analysed by connection weight algorithm (CWA). To validate the reliability of the proposed ANN, correlation coefficient (R) was calculated in the training and test stage which shown relatively high correlation of 0.9641 in training and 0.7933 in test stage. As results of CWA application, BHL (Length of blast hole) and SFJ (Safety factor of Joint orientation) show comparatively high contribution of 18.78% and 19.77% which imply that these are somewhat critical influential parameter of unplanned dilution.

dc.publisherKorean society for rock mechanics
dc.titleA Case Study of Prediction and Analysis of Unplanned Dilution in an Underground Stoping Mine using Artificial Neural Network
dc.typeJournal Article
dcterms.source.volume24
dcterms.source.number4
dcterms.source.startPage282
dcterms.source.endPage288
dcterms.source.titleTunnel & Underground Space
curtin.departmentDept of Mining Eng & Metallurgical Eng
curtin.accessStatusFulltext not available


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record