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Volumn 12, Issue 3, 2003, Pages 201-208

Typing mineral deposits using their grades and tonnages in an artificial neural network

Author keywords

Classification; Grade and tonnage models; Mineral resource assessment; Probabilistic neural network

Indexed keywords


EID: 33845594812     PISSN: 15207439     EISSN: 15738981     Source Type: Journal    
DOI: 10.1023/A:1025128021384     Document Type: Conference Paper
Times cited : (8)

References (17)
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    • Barton, P.B., 1986, Mineralogical index, in Cox, D.P., and Singer, D.A., eds., Mineral deposit models: U.S. Geol. Survey Bull. 1693, p. 318-348.
    • (1986) Mineral Deposit Models: U.S. Geol. Survey Bull. , vol.1693 , pp. 318-348
    • Barton, P.B.1
  • 2
    • 0003244318 scopus 로고
    • Developments in mineral deposit modeling
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    • (1992) U.S. Geol. Survey Bull. , vol.2004
    • Bliss, J.D.1
  • 4
    • 0027040596 scopus 로고
    • Distribution of gold in porphyry copper deposits
    • De Young, J.H., and Hammerstrom, J.M. eds.
    • Cox, D.P., and Singer, D. A., 1992, Distribution of gold in porphyry copper deposits, in De Young, J.H., and Hammerstrom, J.M. eds., Contributions to commodity research: U.S. Geol. Survey Bull. 1877, p. C1-C14.
    • (1992) Contributions to Commodity Research: U.S. Geol. Survey Bull. , vol.1877
    • Cox, D.P.1    Singer, D.A.2
  • 9
    • 33745562752 scopus 로고
    • Geologic and grade-tonnage information on volcanic-hosted copper-zinclead massive sulfide deposits
    • Mosier, D.L., Singer, D.A., and Salem, B.B., 1983, Geologic and grade-tonnage information on volcanic-hosted copper-zinclead massive sulfide deposits: U.S. Geol. Survey Open-File Rept. 83-89, 78 p.
    • (1983) U.S. Geol. Survey Open-File Rept. , vol.83-89
    • Mosier, D.L.1    Singer, D.A.2    Salem, B.B.3
  • 10
    • 0001473437 scopus 로고
    • On estimation of a probability density function and mode
    • Parzen, E., 1962, On estimation of a probability density function and mode: Ann. Math. Statistics, v. 33, no. 4, p. 1,065-1,076.
    • (1962) Ann. Math. Statistics , vol.33 , Issue.4 , pp. 1065-1076
    • Parzen, E.1
  • 11
    • 0027528053 scopus 로고
    • Basic concepts in three-part quantitative assessments of undiscovered mineral resources
    • Singer, D.A., 1993, Basic concepts in three-part quantitative assessments of undiscovered mineral resources: Nonrenewable Resources, v. 2, no. 2, p. 69-81.
    • (1993) Nonrenewable Resources , vol.2 , Issue.2 , pp. 69-81
    • Singer, D.A.1
  • 12
    • 0002770312 scopus 로고    scopus 로고
    • Classification of mineral deposits into types using mineralogy with a probabilistic neural network
    • Singer, D.A., and Kouda, R., 1997a, Classification of mineral deposits into types using mineralogy with a probabilistic neural network: Nonrenewable Resources, v. 6, no. 1, p. 27-32.
    • (1997) Nonrenewable Resources , vol.6 , Issue.1 , pp. 27-32
    • Singer, D.A.1    Kouda, R.2
  • 13
    • 0001151313 scopus 로고    scopus 로고
    • Use of a neural network to integrate geoscience information in the classification of mineral deposits and occurrences
    • Gubins, A.G., ed.
    • Singer, D. A., and Kouda, R., 1997b, Use of a neural network to integrate geoscience information in the classification of mineral deposits and occurrences, in Gubins, A.G., ed., Proc. Exploration 97: Fourth Decennial Intern. Conf Mineral Exploration: p. 127-134.
    • (1997) Proc. Exploration 97: Fourth Decennial Intern. Conf Mineral Exploration , pp. 127-134
    • Singer, D.A.1    Kouda, R.2
  • 14
    • 0006003695 scopus 로고    scopus 로고
    • Examining risk in mineral exploration
    • Singer, D.A., and Kouda, R., 1999, Examining risk in mineral exploration: Natural Resources Research, v. 8, no. 2, p. 111-122.
    • (1999) Natural Resources Research , vol.8 , Issue.2 , pp. 111-122
    • Singer, D.A.1    Kouda, R.2
  • 15
    • 24044502627 scopus 로고    scopus 로고
    • Porphyry copper deposits of the world: Database, maps, and preliminary analysis
    • Singer, D.A., Berger, V.I., and Moring, B.C., 2002, Porphyry copper deposits of the world: database, maps, and preliminary analysis; U.S. Geol. Survey Open-File Rept. 02-268, http://geopubs.wr.usgs.gov/open-file/of02-268/
    • (2002) U.S. Geol. Survey Open-File Rept. 02-268
    • Singer, D.A.1    Berger, V.I.2    Moring, B.C.3
  • 17
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    • Probabilistic neural networks
    • Specht, D., 1990, Probabilistic neural networks: Neural Networks, v. 3, no. 2, p. 109-118.
    • (1990) Neural Networks , vol.3 , Issue.2 , pp. 109-118
    • Specht, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.