메뉴 건너뛰기




Volumn 20, Issue 18, 1999, Pages 3549-3562

The significance of border training patterns in classification by a feedforward neural network using back propagation learning

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; CROPS; IMAGE ANALYSIS; IMAGE PROCESSING; INFRARED IMAGING; LEARNING SYSTEMS; REMOTE SENSING;

EID: 0033372875     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/014311699211192     Document Type: Article
Times cited : (73)

References (30)
  • 1
    • 0003116243 scopus 로고
    • Scaling and generalisation in neural networks: A case study
    • edited by D. Touretzky, G.HintonandT. Sejnowsjki (SanMateo:MorganKaufmann
    • Ahmad, S., and Tesauro, G., 1989, Scaling and generalisation in neural networks: a case study. In Proceedings 1988 Connectionist Models Summer School, edited by D. Touretzky, G.HintonandT. Sejnowsjki (SanMateo:MorganKaufmann), pp. 3-10.
    • (1989) Proceedings 1988 Connectionist Models Summer School , pp. 3-10
    • Ahmad, S.1    Tesauro, G.2
  • 2
    • 0027042113 scopus 로고
    • A supervised Thematic Mapper classiffication with a purification of training samples
    • Aria, K., 1992, A supervised Thematic Mapper classiffication with a purification of training samples. International Journal of Remote Sensing, 13, 2039-2049.
    • (1992) International Journal of Remote Sensing , vol.13 , pp. 2039-2049
    • Aria, K.1
  • 4
    • 0028468293 scopus 로고
    • Using mutual information for selecting features in supervised neural net learning
    • Battiti, R., 1994, Using mutual information for selecting features in supervised neural net learning. IEEE Transactions on Neural Networks, 5, 537-550.
    • (1994) IEEE Transactions on Neural Networks , vol.5 , pp. 537-550
    • Battiti, R.1
  • 5
    • 0002127281 scopus 로고
    • What size net gives valid generalisation?
    • edited by D. S. Touretzky (San Mateo: Morgan Kaufmann
    • Baum, E. B., and Haussler, D., 1989, What size net gives valid generalisation? In Advances in Neural Information Processing Systems, volume 1, edited by D. S. Touretzky (San Mateo: Morgan Kaufmann), pp. 81-90.
    • (1989) Advances in Neural Information Processing Systems , vol.1 , pp. 81-90
    • Baum, E.B.1    Haussler, D.2
  • 6
    • 0342528498 scopus 로고    scopus 로고
    • Feature extraction for neural network classifiers
    • edited by I. Kanellopoulos, G. G. Wilkinson, F. Roli and J. Austin (Berlin: Springer-Verlag
    • Benediktsson, J. A., and Sveinsson, J. R., 1997, Feature extraction for neural network classifiers. In Neurocomoputation in Remote Sensing Data Analysis, edited by I. Kanellopoulos, G. G. Wilkinson, F. Roli and J. Austin (Berlin: Springer-Verlag), pp. 97-104.
    • (1997) Neurocomoputation in Remote Sensing Data Analysis , pp. 97-104
    • Benediktsson, J.A.1    Sveinsson, J.R.2
  • 8
    • 0041646441 scopus 로고    scopus 로고
    • The influence of relative sample size in training artificial neural networks
    • Blamire, P. A., 1996, The influence of relative sample size in training artificial neural networks. International Journal of Remote Sensing, 17, 223-230.
    • (1996) International Journal of Remote Sensing , vol.17 , pp. 223-230
    • Blamire, P.A.1
  • 9
    • 0027009290 scopus 로고
    • Semi-automated training approaches for spectral class definition
    • Bolstad, P. V., and Lillesand, T.M., 1991, Semi-automated training approaches for spectral class definition. International Journal of Remote Sensing, 13, 3157-3166.
    • (1991) International Journal of Remote Sensing , vol.13 , pp. 3157-3166
    • Bolstad, P.V.1    Lillesand, T.M.2
  • 11
    • 0024855536 scopus 로고
    • Improvements to the effectiveness of supervised training procedures
    • Buttner, G., Hajos, T., and Korandi, M., 1989, Improvements to the effectiveness of supervised training procedures. International Journal of Remote Sensing, 10, 1005-1013.
    • (1989) International Journal of Remote Sensing , vol.10 , pp. 1005-1013
    • Buttner, G.1    Hajos, T.2    Korandi, M.3
  • 12
    • 0000436567 scopus 로고
    • Using genetic algorithms to improve pattern classiffication performance
    • edited by R. P. Lippmann, J. E. Moody and D. S. Touretzky (San Mateo: Morgan Kaufmann
    • Chang, E. I., and Lippmann, R. P., 1991, Using genetic algorithms to improve pattern classiffication performance. In Advances in Neural Information Processing Systems, volume 3, edited by R. P. Lippmann, J. E. Moody and D. S. Touretzky (San Mateo: Morgan Kaufmann), pp. 797-803.
    • (1991) Advances in Neural Information Processing Systems , vol.3 , pp. 797-803
    • Chang, E.I.1    Lippmann, R.P.2
  • 13
    • 0027382740 scopus 로고
    • Surface parameter retrieval using fast learning neural networks
    • Dawson, M. S., Fung, A. K., and Manry, M. T., 1993, Surface parameter retrieval using fast learning neural networks. Remote Sensing Reviews, 7, 1-18.
    • (1993) Remote Sensing Reviews , vol.7 , pp. 1-18
    • Dawson, M.S.1    Fung, A.K.2    Manry, M.T.3
  • 14
    • 0002983234 scopus 로고    scopus 로고
    • Remote sensing applications which may be addressed by neural networks using parallel processing technology
    • edited by I. Kanellopoulos, G. G. Wilkinson, F. Roli and J. Austin (Berlin: Springer-Verlag
    • Day, C., 1997, Remote sensing applications which may be addressed by neural networks using parallel processing technology. In Neurocomoputation in Remote Sensing Data Analysis, edited by I. Kanellopoulos, G. G. Wilkinson, F. Roli and J. Austin (Berlin: Springer-Verlag), pp. 262-278.
    • (1997) Neurocomoputation in Remote Sensing Data Analysis , pp. 262-278
    • Day, C.1
  • 15
    • 0027595168 scopus 로고
    • Classiffication of land cover using optimized neural nets on SPOT data
    • Dryer, P., 1993, classiffication of land cover using optimized neural nets on SPOT data. Photogrammetric Engineering and Remote Sensing, 59, 617-621.
    • (1993) Photogrammetric Engineering and Remote Sensing , vol.59 , pp. 617-621
    • Dryer, P.1
  • 17
    • 0000853761 scopus 로고    scopus 로고
    • Classiffication accuracy improvement of neural network classifiers by using unlabeled data
    • Fardanesh, M. T., and Ersoy, O. K., 1998, classiffication accuracy improvement of neural network classifiers by using unlabeled data. IEEE Transactions on Geoscience and Remote Sensing, 36, 1020-1025.
    • (1998) IEEE Transactions on Geoscience and Remote Sensing , vol.36 , pp. 1020-1025
    • Fardanesh, M.T.1    Ersoy, O.K.2
  • 18
    • 0000866729 scopus 로고
    • On the compensation for chance agreement in image classiffication accuracy assessment
    • Foody, G. M., 1992, On the compensation for chance agreement in image classiffication accuracy assessment. Photogrammetric Engineering and Remote Sensing, 58, 1459-1460.
    • (1992) Photogrammetric Engineering and Remote Sensing , vol.58 , pp. 1459-1460
    • Foody, G.M.1
  • 19
    • 33847551858 scopus 로고    scopus 로고
    • The effect of border training patterns on the accuracy of neural and statistical image classifications
    • Nottingham: Remote Sensing Society
    • Foody, G. M., 1998, The effect of border training patterns on the accuracy of neural and statistical image classifications. Developing International Connections (Nottingham: Remote Sensing Society), pp. 589-595.
    • (1998) Developing International Connections , pp. 589-595
    • Foody, G.M.1
  • 20
    • 0031105722 scopus 로고    scopus 로고
    • An evaluation of some factors affecting the accuracy of classiffication by an artificial neural network
    • Foody, G. M., and Arora, M. K., 1997, An evaluation of some factors affecting the accuracy of classiffication by an artificial neural network. International Journal of Remote Sensing, 18, 799-810.
    • (1997) International Journal of Remote Sensing , vol.18 , pp. 799-810
    • Foody, G.M.1    Arora, M.K.2
  • 21
    • 0029473455 scopus 로고
    • The effect of training set size and composition on artificial neural network classiffication
    • Foody, G.M., McCulloch, M. B., and Yates, W. B., 1995, The effect of training set size and composition on artificial neural network classiffication. International Journal of Remote Sensing, 16, 1707-1723.
    • (1995) International Journal of Remote Sensing , vol.16 , pp. 1707-1723
    • Foody, G.M.1    McCulloch, M.B.2    Yates, W.B.3
  • 23
    • 0030855587 scopus 로고    scopus 로고
    • Decision boundary feature extraction for neural networks
    • Lee, C., and Landgrebe, D.A., 1997, Decision boundary feature extraction for neural networks IEEE Transactions on Neural Networks, 8, 75-83.
    • (1997) IEEE Transactions on Neural Networks , vol.8 , pp. 75-83
    • Lee, C.1    Landgrebe, D.A.2
  • 24
    • 0028589729 scopus 로고
    • Tau coefficients for accuracy assessment of classiffication of remote sensing data
    • Ma, Z., and Redmond, R L., 1995, Tau coefficients for accuracy assessment of classiffication of remote sensing data. Photogrammetric Engineering and Remote Sensing, 61, 435-439.
    • (1995) Photogrammetric Engineering and Remote Sensing , vol.61 , pp. 435-439
    • Ma, Z.1    Redmond, R.L.2
  • 28
    • 0342962686 scopus 로고    scopus 로고
    • Spectral pattern recognition by a two-layer perceptron: Effects of training set size
    • edited by I .Kanellopoulos, G. G. Wilkinson, F. Roli and J. Austin (Berlin: Springer- Verlag
    • Staufer, P., and Fischer, M.M., 1997, Spectral pattern recognition by a two-layer perceptron: effects of training set size. In Neuro comoputation in Remote Sensing Data Analysis, edited by I .Kanellopoulos, G. G. Wilkinson, F. Roli and J. Austin (Berlin: Springer- Verlag), pp. 105-116.
    • (1997) Neuro Comoputation in Remote Sensing Data Analysis , pp. 105-116
    • Staufer, P.1    Fischer, M.M.2
  • 29
    • 0037945983 scopus 로고    scopus 로고
    • Open questions in neurocomputing for Earth observation
    • edited by I .Kanellopoulos, G. G. Wilkinson, F. Roli and J. Austin (Berlin: Springer-Verlag
    • Wilkinson, G. G., 1997, Open questions in neurocomputing for Earth observation. In Neur ocomoputation in Remote Sensing Data Analysis, edited by I .Kanellopoulos, G. G. Wilkinson, F. Roli and J. Austin (Berlin: Springer-Verlag), pp. 3-13.
    • (1997) Neur Ocomoputation in Remote Sensing Data Analysis , pp. 3-13
    • Wilkinson, G.G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.