An algorithm for quantifying regionalized ore grades
Küçük Resim Yok
Tarih
2008
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
South African Inst Mining Metallurgy
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
We present a novel, hybrid algorithm for quantifying the ore grade variability that has central importance in ore reserve estimation. The proposed algorithm has three stages: (1) fuzzy clustering, (2) similarity measure, and (3) grade estimation. The method first considers data clustering, and then uses the clustering information for quantifying the ore grades by means of a cumulative point semimadogram function. The method provides a measure of similarity and gives an indication of the regional heterogeneity. In addition, grade estimations can be obtained at different levels of similarity using a weighting function, which is the standard regional dependence function (SRDF).
Açıklama
Anahtar Kelimeler
grade, fuzzy clustering, similarity measure, point madogram, weighting function
Kaynak
Journal of The South African Institute of Mining and Metallurgy
WoS Q Değeri
Q4
Scopus Q Değeri
N/A
Cilt
108
Sayı
2
