메뉴 건너뛰기




Volumn 33, Issue 4, 2001, Pages 421-448

Evaluation of interpolation accuracy of Neural Kriging with application to temperature-distribution analysis

Author keywords

Interpolation; Kriging; Learning criterion; Multilayer neural network; Semivariogram; Temperature distribution

Indexed keywords


EID: 2942611495     PISSN: 08828121     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1011084812324     Document Type: Review
Times cited : (46)

References (38)
  • 2
    • 0023524269 scopus 로고
    • Comparison of geostatistical methods for estimating transmissivity using data on transmissivity and specific capacity
    • Ahmed, S., and Marsily, G. D., 1987, Comparison of geostatistical methods for estimating transmissivity using data on transmissivity and specific capacity: Water Resources Res., v. 23, no. 9, p. 1717-1737.
    • (1987) Water Resources Res. , vol.23 , Issue.9 , pp. 1717-1737
    • Ahmed, S.1    Marsily, G.D.2
  • 3
    • 0002677875 scopus 로고
    • Simulating a geological lithofacies with respect to connectivity information using the truncated gaussian model
    • M. Armstrong and P. A. Dowd, eds.: Kluwer, Dordrecht
    • Allard, D., 1994, Simulating a geological lithofacies with respect to connectivity information using the truncated gaussian model, in M. Armstrong and P. A. Dowd, eds.: Geostatistical simulations: Kluwer, Dordrecht, p. 197-211.
    • (1994) Geostatistical Simulations , pp. 197-211
    • Allard, D.1
  • 4
    • 0002161735 scopus 로고
    • Machine contouring using minimum curvature
    • Briggs, I. C., 1974, Machine contouring using minimum curvature: Geophysics, v. 39, no. 1, p. 39-48.
    • (1974) Geophysics , vol.39 , Issue.1 , pp. 39-48
    • Briggs, I.C.1
  • 5
    • 0022210631 scopus 로고
    • Splines in geophysics
    • Casanova, P. G., and Alvarez, R., 1985, Splines in geophysics: Geophysics, v. 50, no. 12, p. 2831-2848.
    • (1985) Geophysics , vol.50 , Issue.12 , pp. 2831-2848
    • Casanova, P.G.1    Alvarez, R.2
  • 6
    • 0025640617 scopus 로고
    • A Bayesian/maximum-entropy view to the spatial estimation problem
    • Cristakos, G., 1990, A Bayesian/maximum-entropy view to the spatial estimation problem: Math. Geology, v. 22, no. 7, p. 763-777.
    • (1990) Math. Geology , vol.22 , Issue.7 , pp. 763-777
    • Cristakos, G.1
  • 7
    • 0028570143 scopus 로고
    • A neural network approach to geostatistical simulation
    • Dowd, P. A., and Sarac, C., 1994, A neural network approach to geostatistical simulation: Math. Geology, v. 26, no. 4, p. 491-503.
    • (1994) Math. Geology , vol.26 , Issue.4 , pp. 491-503
    • Dowd, P.A.1    Sarac, C.2
  • 9
    • 0018654865 scopus 로고
    • Groundwater contour mapping in Venice by stochastic interpolators: 1. Theory
    • Gambolati, G., and Volpi, G., 1979, Groundwater contour mapping in Venice by stochastic interpolators: 1. Theory: Water Resources Res., v. 15, no. 2, p. 281-290.
    • (1979) Water Resources Res. , vol.15 , Issue.2 , pp. 281-290
    • Gambolati, G.1    Volpi, G.2
  • 10
    • 0025067317 scopus 로고
    • ISIM3D: An ANSI-C three-dimensional multiple indicator conditional simulation program
    • Gómez-Hernández, J. J., and Srivastava, R. M., 1990, ISIM3D: An ANSI-C three-dimensional multiple indicator conditional simulation program: Computers & Geosciences, v. 16, no. 4, p. 395-440.
    • (1990) Computers & Geosciences , vol.16 , Issue.4 , pp. 395-440
    • Gómez-Hernández, J.J.1    Srivastava, R.M.2
  • 11
    • 0002061008 scopus 로고    scopus 로고
    • Kriging vs stochastic simulation for risk analysis in soil contamination
    • A. Soares, J. J. Gómez-Hernández, and R. Froidevaux, eds., Kluwer, Dordrecht
    • Goovaerts, P., 1997, Kriging vs stochastic simulation for risk analysis in soil contamination, in A. Soares, J. J. Gómez-Hernández, and R. Froidevaux, eds., geoENVI - Geostatistics for Environmental Applications: Kluwer, Dordrecht, p. 247-258.
    • (1997) GeoENVI - Geostatistics for Environmental Applications , pp. 247-258
    • Goovaerts, P.1
  • 12
    • 25144496793 scopus 로고    scopus 로고
    • Interpolation of randomly distributed data by artificial neural network incorporating characteristics of spatial correlation
    • in Japanese with English abstract
    • Gu, B., Koike, K., and Ohmi, M., 1997, Interpolation of randomly distributed data by artificial neural network incorporating characteristics of spatial correlation: Geoinformatics, v. 8, no. 4, p. 269-279 (in Japanese with English abstract).
    • (1997) Geoinformatics , vol.8 , Issue.4 , pp. 269-279
    • Gu, B.1    Koike, K.2    Ohmi, M.3
  • 13
    • 0004199140 scopus 로고
    • Addison-Wesley Longman, New York
    • Hecht-Nielsen, R., 1992, Neurocomputing: Addison-Wesley Longman, New York, 536 p.
    • (1992) Neurocomputing
    • Hecht-Nielsen, R.1
  • 15
    • 0030107415 scopus 로고    scopus 로고
    • Permeability prediction with artificial neural network modeling in the Venture gas field, offshore eastern Canada
    • Huang, Z., Shimeld, J., Willianson, M., and Katsube, J., 1996, Permeability prediction with artificial neural network modeling in the Venture gas field, offshore eastern Canada: Geophysics, v. 61, no. 2, p. 422-436.
    • (1996) Geophysics , vol.61 , Issue.2 , pp. 422-436
    • Huang, Z.1    Shimeld, J.2    Willianson, M.3    Katsube, J.4
  • 16
    • 25144483645 scopus 로고
    • Artificial neural networks and spatial estimations of Chernobyl fallouts
    • Osaka, Japan, 29 Oct.-2 Nov. 1995
    • Kanevsky, M., Arutyunyan, R., Bolshov, L., Demyanov, V., and Maignan, M., 1995, Artificial neural networks and spatial estimations of Chernobyl fallouts: Proc. IAMG 1995 Ann. Conf., Osaka, Japan, 29 Oct.-2 Nov. 1995, p. 27-29.
    • (1995) Proc. IAMG 1995 Ann. Conf. , pp. 27-29
    • Kanevsky, M.1    Arutyunyan, R.2    Bolshov, L.3    Demyanov, V.4    Maignan, M.5
  • 17
    • 25144454236 scopus 로고    scopus 로고
    • Ore grade estimation with modular neural network systems. A case study
    • G. N. Panagiotou and T. N. Michalakopoulos, eds., A. A. Balkema Publishers, Rotterdam
    • Kapageridis, I. K., and Denby, B., 1998, Ore grade estimation with modular neural network systems. A case study, in G. N. Panagiotou and T. N. Michalakopoulos, eds., Information technologies in the minerals industry: A. A. Balkema Publishers, Rotterdam, p. 52.
    • (1998) Information Technologies in the Minerals Industry , pp. 52
    • Kapageridis, I.K.1    Denby, B.2
  • 18
    • 25144481604 scopus 로고
    • Consideration on interpolation methods to characterize a subsurface structure from irregularly spaced data
    • in Japanese with English abstract
    • Koike, K., and Ohmi, M., 1995, Consideration on interpolation methods to characterize a subsurface structure from irregularly spaced data: Geoinformatics, v. 6, no. 3, p. 133-146 (in Japanese with English abstract).
    • (1995) Geoinformatics , vol.6 , Issue.3 , pp. 133-146
    • Koike, K.1    Ohmi, M.2
  • 19
    • 0007419013 scopus 로고    scopus 로고
    • Three-dimensional distribution analysis of phosphorus content of limestone through a combination of geostatistics and artificial neural network
    • Koike, K., Gu, B., and Ohmi, M., 1998, Three-dimensional distribution analysis of phosphorus content of limestone through a combination of geostatistics and artificial neural network: Nonrenewable Resources, v. 7, no. 3, p. 197-210.
    • (1998) Nonrenewable Resources , vol.7 , Issue.3 , pp. 197-210
    • Koike, K.1    Gu, B.2    Ohmi, M.3
  • 20
    • 0031794485 scopus 로고    scopus 로고
    • Three-dimensional interpolation and lithofacies analysis of granular composition data for earthquake-engineering characterization of shallow soil
    • Koike, K., Shiraishi, Y., Verdeja, E., and Fujimura, K., 1998, Three-dimensional interpolation and lithofacies analysis of granular composition data for earthquake-engineering characterization of shallow soil: Math. Geology, v. 30, no. 6, p. 733-759.
    • (1998) Math. Geology , vol.30 , Issue.6 , pp. 733-759
    • Koike, K.1    Shiraishi, Y.2    Verdeja, E.3    Fujimura, K.4
  • 21
    • 0030447779 scopus 로고    scopus 로고
    • Quality mapping of the Ryytimaa dolomite in western Finland
    • Laine, E., 1996, Quality mapping of the Ryytimaa dolomite in western Finland: Math. Geology, v. 28, no. 4, p. 477-499.
    • (1996) Math. Geology , vol.28 , Issue.4 , pp. 477-499
    • Laine, E.1
  • 22
    • 0025628024 scopus 로고
    • Comparing some approximate methods for building local confidence intervals for predicting regionalized variables
    • Lajaunie, C., 1990, Comparing some approximate methods for building local confidence intervals for predicting regionalized variables: Math. Geology, v. 22, no. 1, 123-144.
    • (1990) Math. Geology , vol.22 , Issue.1 , pp. 123-144
    • Lajaunie, C.1
  • 23
    • 0007419014 scopus 로고    scopus 로고
    • Foliation fields and 3D cartography in geology: Principles of a method based on potential interpolation
    • Lajaunie, C., Courrioux, G., and Mauel, L., 1997, Foliation fields and 3D cartography in geology: principles of a method based on potential interpolation: Math. Geology, v. 29, no. 4, p. 571-584.
    • (1997) Math. Geology , vol.29 , Issue.4 , pp. 571-584
    • Lajaunie, C.1    Courrioux, G.2    Mauel, L.3
  • 24
    • 0030708815 scopus 로고    scopus 로고
    • On the equivalence of kriging and maximum entropy estimators
    • Lee, Y.-M., and Ellis, J. H., 1997, On the equivalence of kriging and maximum entropy estimators: Math. Geology, v. 29, no. 1, p. 131-152.
    • (1997) Math. Geology , vol.29 , Issue.1 , pp. 131-152
    • Lee, Y.-M.1    Ellis, J.H.2
  • 25
    • 0001812926 scopus 로고
    • Splines and kriging: Their formal equivalence
    • D. F. Merriam, ed., Syracuse University Geological Contributions, Syracuse, NY
    • Matheron, G., 1981, Splines and kriging: Their formal equivalence, in D. F. Merriam, ed., Down-to-earth-statistics: Solutions looking for geological problems, Syracuse University Geological Contributions, Syracuse, NY, p. 77-95.
    • (1981) Down-to-earth-statistics: Solutions Looking for Geological Problems , pp. 77-95
    • Matheron, G.1
  • 26
    • 0029543410 scopus 로고
    • Neural network classification of remote-sensing data
    • Miller, D. M., Kaminsky, E. J., and Rana, S., 1995, Neural network classification of remote-sensing data: Computers & Geosciences, v. 21, no. 3, p. 337-386.
    • (1995) Computers & Geosciences , vol.21 , Issue.3 , pp. 337-386
    • Miller, D.M.1    Kaminsky, E.J.2    Rana, S.3
  • 27
    • 0027843999 scopus 로고
    • Interpolation by regularized spline with tension: I. Theory and implementation
    • Mitasova, H., and Mitas, L., 1993, Interpolation by regularized spline with tension: I. Theory and implementation: Math. Geology, v. 25, no. 6, p. 641-655.
    • (1993) Math. Geology , vol.25 , Issue.6 , pp. 641-655
    • Mitasova, H.1    Mitas, L.2
  • 28
    • 0027879542 scopus 로고
    • Automatic extraction of lineament information of satellite images using digital elevation data
    • Raghavan, V., Wadatsumi, K., and Masumoto, S., 1993, Automatic extraction of lineament information of satellite images using digital elevation data: Nonrenewable Resources, v. 2, no. 2, p. 148-155.
    • (1993) Nonrenewable Resources , vol.2 , Issue.2 , pp. 148-155
    • Raghavan, V.1    Wadatsumi, K.2    Masumoto, S.3
  • 29
  • 30
    • 0028193610 scopus 로고
    • Characterization of aquifer properties using artificial neural networks: Neural Kriging
    • Rizzo, D. M., and Dougherty, D. E., 1994, Characterization of aquifer properties using artificial neural networks: Neural Kriging: Water Resources Res., v. 30, no. 2, p. 483-497.
    • (1994) Water Resources Res. , vol.30 , Issue.2 , pp. 483-497
    • Rizzo, D.M.1    Dougherty, D.E.2
  • 31
    • 0022471098 scopus 로고
    • Learning representations by back-propagating errors
    • Rumelhart, D. E., Hinton, G. E., and Wiliams, R. H., 1986, Learning representations by back-propagating errors: Nature, v. 323, no. 9, p. 533-536.
    • (1986) Nature , vol.323 , Issue.9 , pp. 533-536
    • Rumelhart, D.E.1    Hinton, G.E.2    Wiliams, R.H.3
  • 32
    • 0027883765 scopus 로고
    • A computerized geologic mapping system based on logical models of geologic structures
    • Sakamoto, M., Shiono, K., Masumoto, S., and Wadatsumi, K., 1993, A computerized geologic mapping system based on logical models of geologic structures: Nonrenewable Resources, v. 2, no. 2, p. 140-147.
    • (1993) Nonrenewable Resources , vol.2 , Issue.2 , pp. 140-147
    • Sakamoto, M.1    Shiono, K.2    Masumoto, S.3    Wadatsumi, K.4
  • 33
    • 0027595914 scopus 로고
    • Classification of miltispectal image data by the binary diamond neural network and by nonparametric, pixel-by-pixel-methods
    • Salu, Y., and Tilton, J., 1993, Classification of miltispectal image data by the binary diamond neural network and by nonparametric, pixel-by-pixel-methods: IEEE Trans. Geosci. Remote Sens., v. 31, no. 3, p. 606-617.
    • (1993) IEEE Trans. Geosci. Remote Sens. , vol.31 , Issue.3 , pp. 606-617
    • Salu, Y.1    Tilton, J.2
  • 34
    • 0022204510 scopus 로고
    • Conceptual hydrothermal system model for the Hohi area based on geochemistry of geothermal fluids
    • in Japanese with English abstract
    • Sigeno, H., Abe, K., and Noda, T., 1985, Conceptual hydrothermal system model for the Hohi area based on geochemistry of geothermal fluids: Report of the Geological Survey of Japan, No. 264, p. 285-302 (in Japanese with English abstract).
    • (1985) Report of the Geological Survey of Japan , Issue.264 , pp. 285-302
    • Sigeno, H.1    Abe, K.2    Noda, T.3
  • 35
    • 0000523292 scopus 로고    scopus 로고
    • Application of a feedforward neural network in the search for Kuroko deposits in the Hokuroku district, Japan
    • Singer, D. A., and Kouda, R., 1996, Application of a feedforward neural network in the search for Kuroko deposits in the Hokuroku district, Japan: Math. Geology, v. 28, no. 8, p. 1017-1023.
    • (1996) Math. Geology , vol.28 , Issue.8 , pp. 1017-1023
    • Singer, D.A.1    Kouda, R.2
  • 36
    • 25144514215 scopus 로고
    • Deep subsurface temperature distribution pattern estimated from many temperature logging data: Examples of Hohi geothermal area, Kyushu, Japan
    • in Japanese with English abstract
    • Tamanyu, S., Yoshizawa, M., and Nomura, K., 1995, Deep subsurface temperature distribution pattern estimated from many temperature logging data: Examples of Hohi geothermal area, Kyushu, Japan: Bull. Geol. Surv. Japan, v. 46, no. 7, p. 313-331 (in Japanese with English abstract).
    • (1995) Bull. Geol. Surv. Japan , vol.46 , Issue.7 , pp. 313-331
    • Tamanyu, S.1    Yoshizawa, M.2    Nomura, K.3
  • 37
    • 0030437549 scopus 로고    scopus 로고
    • Modeling complex reservoir geometries with multiple-point statistics
    • Wang, L., 1996, Modeling complex reservoir geometries with multiple-point statistics: Math. Geology, v. 28, no.7, p. 895-907.
    • (1996) Math. Geology , vol.28 , Issue.7 , pp. 895-907
    • Wang, L.1
  • 38
    • 0027799215 scopus 로고
    • Formatting and integrating soft data: Stochastic imaging via the Markov-Bayes algorithm
    • A. Soares, ed., Kluwer, Dordrecht
    • Zhu, H., and Journel, A. G., 1993, Formatting and integrating soft data: Stochastic imaging via the Markov-Bayes algorithm, in A. Soares, ed., Geostatistics Tróia '92: Kluwer, Dordrecht, p. 1-12.
    • (1993) Geostatistics Tróia '92 , pp. 1-12
    • Zhu, H.1    Journel, A.G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.