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Volumn , Issue , 2009, Pages 122-128

Artificial neural networks

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EID: 80051933514     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-59140-995-3.ch016     Document Type: Chapter
Times cited : (21)

References (18)
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    • Bruzzone, L., Prieto, D. F., & Serpico, S. B. (1999). A neural-statistical approach to multitemporal and multisource remote-sensing image classification. IEEE Transactions on Geoscience and Remote Sensing, 37(3), 1350-1359.
    • (1999) IEEE Transactions on Geoscience and Remote Sensing , vol.37 , Issue.3 , pp. 1350-1359
    • Bruzzone, L.1    Prieto, D.F.2    Serpico, S.B.3
  • 5
    • 0034749335 scopus 로고    scopus 로고
    • Hydrological modelling using artificial neural networks
    • Dawson, C. W., & Wilby, R. L. (2001). Hydrological modelling using artificial neural networks. Progress in Physical Geography, 25(1), 80-108.
    • (2001) Progress in Physical Geography , vol.25 , Issue.1 , pp. 80-108
    • Dawson, C.W.1    Wilby, R.L.2
  • 6
    • 0028413247 scopus 로고
    • Neural networks in civil engineering.2. Systems and application
    • Flood, I., & Kartam, N. (1994). Neural networks in civil engineering.2. systems and application. Journal of Computing in Civil Engineering, 8(2), 149-162.
    • (1994) Journal of Computing in Civil Engineering , vol.8 , Issue.2 , pp. 149-162
    • Flood, I.1    Kartam, N.2
  • 7
    • 0029478734 scopus 로고
    • Land cover classification using an artificial neural network with ancillary information
    • Foody, G. M. (1995). Land cover classification using an artificial neural network with ancillary information. International Journal of Geographical Information Systems, 9, 527-542.
    • (1995) International Journal of Geographical Information Systems , vol.9 , pp. 527-542
    • Foody, G.M.1
  • 9
    • 0027812765 scopus 로고
    • Some new results on neural-network approximation
    • Hornik, K. (1993). Some new results on neural-network approximation. Neural Networks, 6(8), 1069-1072.
    • (1993) Neural Networks , vol.6 , Issue.8 , pp. 1069-1072
    • Hornik, K.1
  • 10
    • 0031146959 scopus 로고    scopus 로고
    • Constructive algorithms for structure learning in feed-forward neural networks for regression problems
    • Kwok, T. Y., & Yeung, D. Y. (1997). Constructive algorithms for structure learning in feed-forward neural networks for regression problems. IEEE Transactions On Neural Networks, 8(3), 630-645.
    • (1997) IEEE Transactions on Neural Networks , vol.8 , Issue.3 , pp. 630-645
    • Kwok, T.Y.1    Yeung, D.Y.2
  • 11
    • 0033957764 scopus 로고    scopus 로고
    • Neural networks for the prediction and forecasting of water resources variables: A review of modeling issues and applications
    • Maier, H. R., & Dandy, G. C. (2000). Neural networks for the prediction and forecasting of water resources variables: A review of modeling issues and applications. Environmental Modelling & Software, 15, 101-124.
    • (2000) Environmental Modelling & Software , vol.15 , pp. 101-124
    • Maier, H.R.1    Dandy, G.C.2
  • 14
  • 16
    • 0000646059 scopus 로고
    • Learning internal representations by error propagation
    • In, D. E. Rumelhart, & J. L. McClelland. Cambridge: MIT Press
    • Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986). Learning internal representations by error propagation. In Parallel Distributed Processing D. E. Rumelhart, & J. L. McClelland. Cambridge: MIT Press.
    • (1986) Parallel Distributed Processing
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 17
    • 84886130668 scopus 로고    scopus 로고
    • Artificial neural networks for urban modeling
    • In, M. Madden. American Society for Photogrammetry and Remote Sensing (in press)
    • Yang, X. (2009). Artificial neural networks for urban modeling. In Manual of Geographic Information Systems, M. Madden. American Society for Photogrammetry and Remote Sensing (in press).
    • (2009) Manual of Geographic Information Systems
    • Yang, X.1
  • 18
    • 0042421778 scopus 로고    scopus 로고
    • Simulation of development alternatives using neural networks, cellular automata, and GIS for urban planning
    • Yeh, A. G. O., & Li, X. (2003). Simulation of development alternatives using neural networks, cellular automata, and GIS for urban planning. Photogrammetric Engineering and Remote Sensing, 69(9), 1043-1052.
    • (2003) Photogrammetric Engineering and Remote Sensing , vol.69 , Issue.9 , pp. 1043-1052
    • Yeh, A.G.O.1    Li, X.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.