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Application of neural network model for ore boundary delineation based on geophysical logging data
Luleå tekniska universitet.
Luleå tekniska universitet.
1996 (English)In: ICNN '96: the IEEE International Conference on Neural Networks ; June 3 - 6, 1996, Sheraton Washington Hotel, Washington, DC, USA, Piscataway, NJ: IEEE Communications Society, 1996, p. 2148-2153Conference paper, Published paper (Refereed)
Abstract [en]

In a mining operation, knowledge regarding the ore boundary is extremely important. Mining cost and ore quality largely depend on this information. The conventional technique to get this information is diamond core drilling. The disadvantages of this technique are that it is very expensive and time consuming. In recent years, geophysical logging has been introduced to the mining industry to get this ore boundary information. However, effective interpretation to delineate the ore boundary from the geophysical logging data is still a problem. In this paper, a back propagation neural network model is applied to delineation of the ore boundary based on borehole 4 geophysical parameters logging data in a Swedish underground mine. Three boreholes geophysical logging data was tested for ore boundary delineation purpose. The result from the neural network model about the ore boundary delineation is encouraging and much better than the existing geophysical logging data interpretation techniques

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 1996. p. 2148-2153
National Category
Other Civil Engineering
Research subject
Mining and Rock Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-30852DOI: 10.1109/ICNN.1996.549234Local ID: 4d52a9c0-fbf3-11dc-a946-000ea68e967bISBN: 0-7803-3210-5 (print)OAI: oai:DiVA.org:ltu-30852DiVA, id: diva2:1004081
Conference
IEEE International Conference on Neural Networks : 03/06/1996 - 06/06/1996
Note
Godkänd; 1996; 20080327 (cira)Available from: 2016-09-30 Created: 2016-09-30Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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  • asciidoc
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