Application of a feedforward neural network in the search for kuroko deposits in the hokuroku district, Japan

Mathematical Geology

Volumn 28, Issue 8, 1996, Pages 1017-1023

  Singer, Donald A ^a   Kouda, Ryoichi ^b  

^a U S GEOLOGICAL SURVEY   (United States)

^b GEOLOGICAL SURVEY OF JAPAN   (Japan)

Author keywords

Exploration; Kuroko massive sulfide; Neural network

Indexed keywords

EID: 0000523292     PISSN: 08828121     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02068587     Document Type: Article

References (12)

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4. Kouda, R., and Singer. D. A., 1993, Evaluation of potentiality of kuroko deposits based on the probability distribution model: Geol. Survey Japan Bull. v. 44. no. 2/3/4, p. 91-103 (in Japanese with English abst.).
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9. Poulton, M. M.. Sternberg, B. K., and Glass, C. E.. 1992. Neural network pattern recognition of subsurface EM images. Jour. Applied Geophysics, v. 29, no. 1. p. 21-36.
10. Singer, D. A., and Kouda. R., 1988, Integrating spatial and frequency information in the search for kuroko deposits of the Hokuroku District. Japan: Econ. Geology, v. 83, no. 1. p. 18-29.
11. Singer. D. A., and Kouda, R., 1992. Regional view in the search for kuroko deposits of the Hokuroku District. Japan, in Urabe, T. and Aoki, M., eds., 29th IGC field trip Guidebook, Vol. 6: Mineral deposits of Japan and the Philippines: The Soc. Resource Geology, p. 83-91.
12. Wu, X., and Zhou, Y., 1993. Reserve estimation using neural network techniques: Computers & Geosciences, v. 19. no. 4. p. 567-576.