1 |
고상모, 황덕환, 김수영, 이동진, 김대업, 이한영, 김용욱, 유장한, 김영인, 류충렬, 송민섭. 2003. 국내광물자원 자료전산화 및 광상재 평가 종합시스템 개발연구 III (1:250,000 서울, 강릉지질도폭). 한국지질자원연구원 84쪽.
|
2 |
박맹언, 성규열, 백승균, 김필근, 강흥석, 문영환. 2005. 칼린형 금광상 탐사와 국내 적용성 연구. 자원환경지질 38(4):421-434.
과학기술학회마을
|
3 |
성규열, 박맹언, 윤성택, 문영환, 유인걸, 김량희, 신종기, 김의준. 2007. 태백산 광화대북부에서 칼린형 금광화작용 부존 잠재력 평가를 위한 지구화학 탐사. 자원환경지질40(5):537-549.
과학기술학회마을
|
4 |
유승록. 2008. 세계 자원정쟁의 방향과 시사점. 포스코경영연구소.
|
5 |
이사로, 오현주, 민경덕. 2006. 지리정보시스템(GIS) 및 Weight of Evidence 기법을 이용한 강릉지역의 퇴적기원의 비금속 광상부존가능성 분석. 한국GIS학회 14(1):129-150.
과학기술학회마을
|
6 |
이진수, 서효준, 황인호. 1998. 지화학조사연구(1:250,000 강릉도폭 광역지화학도). 한국지질자원연구원 KIGAM Research Report KR-98(C)-02.
|
7 |
태백산지구 지하자원조사단. 1962. 태백산 지구 지질도. 대한지질학회.
|
8 |
Agterberg, F.P. and G.F. Bonham-Carter. 2005. Measuring performance of mineral -potential maps. Natural Resources Research 14(1):1-17.
DOI
ScienceOn
|
9 |
An, P., W.M. Moon and A. Rencz. 1991. Application of fuzzy set theory to integrated mineral exploration. Canadian Journal of Exploration Geophysics 27:1-11.
|
10 |
Behnia, P. 2007. Application of radial basis functional link networks to exploration for proterozoic mineral deposits in central Ira. Natural Resources Research 16(2):147-155.
DOI
ScienceOn
|
11 |
Bonham-Carter, G.F., F.P. Agterberg and D.F. Wright. 1988. Integration of geological datasets for gold exploration in Nova Scotia. Photogrammetic Engineering and Remote Sensing 54:1585-1592.
|
12 |
Carranza, E.J.M., T. Woldai and E.M. Chikambwe. 2005. Application of data - driven evidential belief functions to prospectivity mapping for aquamarine - bearing pegmatites, Lundazi District, Zambia. Natural Resources Research 14(1):47-63.
DOI
ScienceOn
|
13 |
Chung, C.F. and F.P. Agterberg. 1980. Regression models for estimating mineral resources from geological map data. Mathematical Geology 12(5):473- 488.
DOI
|
14 |
De Quadros, T.F.P., J.C. Koppe, A.J. Strieder and J.F.C.L. Costa. 2006. Mineral-potential mapping: A comparison of weights-of-evidence and fuzzy methods. Natural Resources Research 15(1):49-65.
DOI
ScienceOn
|
15 |
Harris, D., L. Zurcher, M. Stanley, J. Marlow and G. Pan. 2003. A comparative analysis of favorability mapping by weights of evidence, probabilistic neural networks, discriminant analysis and logistic regression. Natural Resources Research 12(4):241-255.
|
16 |
Hines, J.W. 1997. Fuzzy and Neural Approaches in Engineering, John Wiley and Sons, New York, pp.209.
|
17 |
James, L.P., M.E. Park and H.C. Shin. 2001. Sediment-hosted disseminated and skarn mineralization in the Taebaegsan region, South Korea : occurrence and environment of formation. International Symposium on Gold and Hydrothermal System, Fukuoka, Japan. pp.145.
|
18 |
Lee, S., J. Choi and I. Woo. 2004. The effect of spatial resoulution on the accuracy of landslide susceptibility mapping: a case study in Boun, Korea. Geosciences Journal 8(1):51-60.
DOI
ScienceOn
|
19 |
Leite, E.P. and C.R. Souza Filho. 2009. Artificial neural networks applied to mineral potential mapping for copper-gold mineralizations in the Carajas Mineral Province, Brazil. Geophysical Prospecting 57(6):1049-1065.
DOI
ScienceOn
|
20 |
Li, Z. and S.G. Peters. 1998. Comparative geology and geochemistry of sedimentary-rock-hosted (Carlin type) gold deposits in the People's Republic of China and in Nevada, USA. U.S. Geological Survey. Open-File Report 98-466, pp.160.
|
21 |
Moon, W.M. 1990. Integration of geophysical and geological data using evidential belief function. IEEE Transactions on Geoscience and Remote Sensing 28:711-720.
DOI
ScienceOn
|
22 |
Nykanen, V. 2008. Radial basis functional link nets used as a prospectivity mapping tool for orogenic gold deposits within the Central Lapland Greenstone Belt, Northern Fennoscandian Shield. Natural Resources Research 17(1):29- 47.
DOI
ScienceOn
|
23 |
Oh, H.-J. and S. Lee. 2008. Regional probabilistic and statistical mineral potential, mapping of gold–silver deposits using GIS in the Gangreung area, Korea. Resource Geology 58(2):171-187.
DOI
ScienceOn
|
24 |
Oh, H.-J. and S. Lee. 2010. Application of artificial neural network for gold-silver deposits potential mapping: A case study of Korea. Natural Resources Research 19(2):103-124.
DOI
ScienceOn
|
25 |
Paola, J.D. and R.A. Schowengerdt. 1995. A review and analysis of backpropagation neural networks for classification of remotely-sensed multi-spectral imagery. International Journal of Remote Sensing 16(16):3033-3058.
DOI
ScienceOn
|
26 |
Park, M.E., K.Y. Sung and Y.H. Moon. 2002. Technical report on exploration of Carlin-type gold deposits. Korea Resources Corporation pp.135.
|
27 |
Porwal, A., E.J.M. Carranza and M. Hale. 2003. Artificial Neural Networks for Mineral -Potential Mapping : A Case Study from Aravalli Province, Western India. Natural Resources Research 12(3):155-171.
DOI
ScienceOn
|
28 |
Radtke, A.S., C.M. Taylor and C.L. Christ. 1972. Chemical distribution of gold and mercury at the Carlin deposit, Nevada. Geol Soc Am, Annu Meet, Abstr. Vol. 4, pp.632.
|
29 |
Skabar, A. 2005. Mapping mineralization probabilities using multilayer perceptrons. Natural Resources Research 14(2):109- 123.
DOI
ScienceOn
|
30 |
Skabar, A. 2007. Modeling the spatial distribution of mineral deposits using neural networks. Natural Resource Modeling 20(3):435-450.
|
31 |
Swingler, K. 1996. Applying neural networks: A practical guide, Academic press, London (1996).
|