메뉴 건너뛰기




Volumn 36, Issue 6, 2004, Pages 627-635

The measurement of technical efficiency: A neural network approach

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; EFFICIENCY MEASUREMENT; MEASUREMENT METHOD; TECHNICAL EFFICIENCY;

EID: 2042433669     PISSN: 00036846     EISSN: None     Source Type: Journal    
DOI: 10.1080/0003684042000217661     Document Type: Article
Times cited : (74)

References (52)
  • 1
    • 49449120922 scopus 로고
    • Formulation and estimation of stochastic frontier production function models
    • Aigner, D. J., Lovell, C. A. K. and Schmidt, P. (1977) Formulation and estimation of stochastic frontier production function models, Journal of Econometrics, 6, 21-37.
    • (1977) Journal of Econometrics , vol.6 , pp. 21-37
    • Aigner, D.J.1    Lovell, C.A.K.2    Schmidt, P.3
  • 3
    • 0030216682 scopus 로고    scopus 로고
    • A comparison of data envelopment analysis and artificial neural networks as tools for assessing the efficiency of decision-making units
    • Athnassopoulos, A. and Curram, S. (1996) A comparison of data envelopment analysis and artificial neural networks as tools for assessing the efficiency of decision-making units, Journal of the Operational Research Society, 47, 1000-16.
    • (1996) Journal of the Operational Research Society , vol.47 , pp. 1000-1016
    • Athnassopoulos, A.1    Curram, S.2
  • 4
    • 0038314110 scopus 로고    scopus 로고
    • Can flexible non-linear modelling tell us anything new about educational productivity?
    • Baker, B. D. (2001) Can flexible non-linear modelling tell us anything new about educational productivity?, Economics of Education Review, 20, 81-92.
    • (2001) Economics of Education Review , vol.20 , pp. 81-92
    • Baker, B.D.1
  • 8
    • 84972539015 scopus 로고
    • Neural networks: A review from a statistical perspective
    • Cheng, B. and Titterington, D. M. (1994) Neural networks: a review from a statistical perspective, Statistical Science, 9(1), 2-54.
    • (1994) Statistical Science , vol.9 , Issue.1 , pp. 2-54
    • Cheng, B.1    Titterington, D.M.2
  • 11
    • 0031284303 scopus 로고    scopus 로고
    • Evaluating public transport efficiency with neural network models
    • Costa, A. and Markellos, R. N. (1997) Evaluating public transport efficiency with neural network models, Transportation Research C, 5(5), 301-12.
    • (1997) Transportation Research C , vol.5 , Issue.5 , pp. 301-312
    • Costa, A.1    Markellos, R.N.2
  • 12
    • 0024861871 scopus 로고
    • Approximation by superpositions of a sigmoidal function
    • Cybenko, G. (1989) Approximation by superpositions of a sigmoidal function, Mathematics of Control, Signals and Systems, 2, 303-14.
    • (1989) Mathematics of Control, Signals and Systems , vol.2 , pp. 303-314
    • Cybenko, G.1
  • 13
    • 0032202770 scopus 로고    scopus 로고
    • Prediction intervals for neural networks via nonlinear regression
    • De Veaux, R. D., Schumi, J., Schweinsberg, J. and Ungar, L. H. (1998) Prediction intervals for neural networks via nonlinear regression, Technometrics, 40(4), 273-82.
    • (1998) Technometrics , vol.40 , Issue.4 , pp. 273-282
    • De Veaux, R.D.1    Schumi, J.2    Schweinsberg, J.3    Ungar, L.H.4
  • 14
    • 0032219373 scopus 로고    scopus 로고
    • The effect of school quality on student performance: A quantile regression approach
    • Eide, E. and Showalter, M. H. (1998) The effect of school quality on student performance: a quantile regression approach, Economics Letters, 58, 345-50.
    • (1998) Economics Letters , vol.58 , pp. 345-350
    • Eide, E.1    Showalter, M.H.2
  • 17
    • 0001008726 scopus 로고    scopus 로고
    • Functional form and the estimated effects of school resources
    • Figlio, D. N. (1999) Functional form and the estimated effects of school resources, Economics of Education Review, 18, 241-52.
    • (1999) Economics of Education Review , vol.18 , pp. 241-252
    • Figlio, D.N.1
  • 18
    • 0034371866 scopus 로고    scopus 로고
    • Evaluating the semi-nonparametric Fourier, AIM, and neural networks cost functions
    • Fleissig, A. R., Kastens, T. and Terrell, D. (2000) Evaluating the semi-nonparametric Fourier, AIM, and neural networks cost functions, Economics Letters, 68(3), 235-44.
    • (2000) Economics Letters , vol.68 , Issue.3 , pp. 235-244
    • Fleissig, A.R.1    Kastens, T.2    Terrell, D.3
  • 20
    • 0024866495 scopus 로고
    • On the approximate realization of continuous mappings by neural networks
    • Funahashi, K. (1989) On the approximate realization of continuous mappings by neural networks, Neural Networks, 2, 183-92.
    • (1989) Neural Networks , vol.2 , pp. 183-192
    • Funahashi, K.1
  • 23
    • 0000749632 scopus 로고
    • The economics of schooling
    • Hanushek, E. (1986) The economics of schooling, Journal of Economic Literature, 24(3), 1141-71.
    • (1986) Journal of Economic Literature , vol.24 , Issue.3 , pp. 1141-1171
    • Hanushek, E.1
  • 28
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • Hornik, K., Stinchcombe, M. and White, H. (1989) Multilayer feedforward networks are universal approximators, Neural Networks, 2, 359-66.
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 29
    • 0025627940 scopus 로고
    • Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks
    • Hornik, K., Stinchcombe, M. and White, H. (1990) Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks, Neural Networks, 3, 551-60.
    • (1990) Neural Networks , vol.3 , pp. 551-560
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 32
    • 84948516717 scopus 로고
    • Artificial neural networks: An econometric perspective
    • Kuan, C. M. and White, H. (1994) Artificial neural networks: an econometric perspective, Econometric Reviews, 13, 1-91.
    • (1994) Econometric Reviews , vol.13 , pp. 1-91
    • Kuan, C.M.1    White, H.2
  • 33
    • 84983857211 scopus 로고
    • Forecasting exchange rates using feedforward and recurrent neural networks
    • Kuan, C. M. and Liu, T. (1995) Forecasting exchange rates using feedforward and recurrent neural networks, Journal of Applied Econometrics, 10, 347-64.
    • (1995) Journal of Applied Econometrics , vol.10 , pp. 347-364
    • Kuan, C.M.1    Liu, T.2
  • 34
    • 43949168783 scopus 로고
    • Testing for neglected nonlinearity in time series models. A comparison of neural network methods and alternative test
    • Lee, T.-H., White, H. and Granger, C. W. J. (1993) Testing for neglected nonlinearity in time series models. A comparison of neural network methods and alternative test, Journal of Econometrics, 56, 269-90.
    • (1993) Journal of Econometrics , vol.56 , pp. 269-290
    • Lee, T.-H.1    White, H.2    Granger, C.W.J.3
  • 35
    • 51249194645 scopus 로고
    • A logical calculus of the ideas immanent in nervous activity
    • McCulloch, W. S. and Pitts, W. (1943) A logical calculus of the ideas immanent in nervous activity, Bulletin of Mathematical Biophysics, 5, 115-33.
    • (1943) Bulletin of Mathematical Biophysics , vol.5 , pp. 115-133
    • McCulloch, W.S.1    Pitts, W.2
  • 38
    • 0343090467 scopus 로고    scopus 로고
    • Construction of confidence intervals for neural networks based on least squares estimation
    • Rivals, I. and Personnaz, L. (2000) Construction of confidence intervals for neural networks based on least squares estimation, Neural Networks, 13, 463-84.
    • (2000) Neural Networks , vol.13 , pp. 463-484
    • Rivals, I.1    Personnaz, L.2
  • 39
    • 11144273669 scopus 로고
    • The perceptron: A probabilistic model for information storage and organization in the brain
    • Rosenblatt, F. (1958) The perceptron: a probabilistic model for information storage and organization in the brain, Psychological Reviews, 62, 386-408.
    • (1958) Psychological Reviews , vol.62 , pp. 386-408
    • Rosenblatt, F.1
  • 41
    • 25744480363 scopus 로고    scopus 로고
    • Artificial neural networks for measuring technical efficiency in schools with a two-level model: An alternative approach
    • Oviedo
    • Santín, D. and Valino, A. (2000) Artificial neural networks for measuring technical efficiency in schools with a two-level model: an alternative approach, II Oviedo Workshop on Efficiency and Productivity, Oviedo.
    • (2000) II Oviedo Workshop on Efficiency and Productivity
    • Santín, D.1    Valino, A.2
  • 43
    • 0345195977 scopus 로고    scopus 로고
    • Universal approximation using feedforward neural networks: A survey of some existing methods, and some new results
    • Scarselli, F. and Chung, A. (1998) Universal approximation using feedforward neural networks: a survey of some existing methods, and some new results, Neural Networks, 11(1), 15-37.
    • (1998) Neural Networks , vol.11 , Issue.1 , pp. 15-37
    • Scarselli, F.1    Chung, A.2
  • 45
    • 0024124328 scopus 로고
    • Economic prediction using neural networks: The case of IBM daily stock returns
    • proceedings, San Diego
    • White, H. (1988) Economic prediction using neural networks: the case of IBM daily stock returns, proceedings of the IEEE International Conference on Neural Networks, San Diego, 451-8.
    • (1988) IEEE International Conference on Neural Networks , pp. 451-458
    • White, H.1
  • 46
    • 0000243355 scopus 로고
    • Learning in artificial neural networks: A statistical perspective
    • White, H. (1989a) Learning in artificial neural networks: a statistical perspective, Neural Computation, 1, 425-64.
    • (1989) Neural Computation , vol.1 , pp. 425-464
    • White, H.1
  • 47
    • 0012195187 scopus 로고
    • Some asymptotic results for learning in single hidden-layer feedforward network models
    • White, H. (1989b) Some asymptotic results for learning in single hidden-layer feedforward network models, Journal of the American Statistical Association, 84(408), 1003-13.
    • (1989) Journal of the American Statistical Association , vol.84 , Issue.408 , pp. 1003-1013
    • White, H.1
  • 48
    • 0025635525 scopus 로고
    • Connectionist nonparametric regression: Multilayer feedforward networks can learn arbitrary mappings
    • White, H. (1990) Connectionist nonparametric regression: multilayer feedforward networks can learn arbitrary mappings, Neural Networks, 3, 535-49.
    • (1990) Neural Networks , vol.3 , pp. 535-549
    • White, H.1
  • 49
    • 0008651298 scopus 로고
    • Adaptative sampled-data systems, a statistical theory of adaptation, 1959 IRE WESCON
    • Institute of Radio Engineers, New York
    • Widrow, B. (1959) Adaptative sampled-data systems, a statistical theory of adaptation, 1959 IRE WESCON Convention Record, part 4, Institute of Radio Engineers, New York.
    • (1959) Convention Record , Issue.PART 4
    • Widrow, B.1
  • 51
    • 0032363353 scopus 로고    scopus 로고
    • The effect of sample size on the mean efficiency in DEA with an application to electricity distribution in Australia
    • Sweden and New Zealand
    • Zhang, Y. and Bartels, R. (1998) The effect of sample size on the mean efficiency in DEA with an application to electricity distribution in Australia, Sweden and New Zealand, Journal of Productivity Analysis, 9, 187-204.
    • (1998) Journal of Productivity Analysis , vol.9 , pp. 187-204
    • Zhang, Y.1    Bartels, R.2
  • 52
    • 0003123930 scopus 로고    scopus 로고
    • Forecasting with artificial neural networks: The state of the art
    • Zhang, G., Patuwo, B. E. and Hu, M. Y. (1998) Forecasting with artificial neural networks: the state of the art, International Journal of Forecasting, 14, 35-62.
    • (1998) International Journal of Forecasting , vol.14 , pp. 35-62
    • Zhang, G.1    Patuwo, B.E.2    Hu, M.Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.