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Volumn 29, Issue 1, 2005, Pages 65-74

A comparative predictive analysis of neural networks (NNs), nonlinear regression and classification and regression tree (CART) models

Author keywords

Classification and regression tree; Neural networks; Regression

Indexed keywords

DATA PROCESSING; DECISION THEORY; MATHEMATICAL MODELS; PATTERN RECOGNITION; REGRESSION ANALYSIS; STATISTICAL METHODS;

EID: 16244386248     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2005.01.006     Document Type: Article
Times cited : (292)

References (81)
  • 1
    • 0012233276 scopus 로고    scopus 로고
    • Data-mining and choice classic models/neural networks
    • A. Ainslie, and X. Dreze Data-mining and choice classic models/neural networks Decisions Marketing 1996 77 86
    • (1996) Decisions Marketing , pp. 77-86
    • Ainslie, A.1    Dreze, X.2
  • 2
    • 0000254593 scopus 로고
    • Use of an artificial neural network for data analysis in clinical decision-making: The diagnosis of acute coronary occlusion
    • W.G. Baxt Use of an artificial neural network for data analysis in clinical decision-making: The diagnosis of acute coronary occlusion Neural Computation 2 1990 480 489
    • (1990) Neural Computation , vol.2 , pp. 480-489
    • Baxt, W.G.1
  • 3
    • 0030196364 scopus 로고    scopus 로고
    • Stacked regressions
    • L. Breiman Stacked regressions Machine Learning July 24 1996 49 64
    • (1996) Machine Learning , vol.24 , pp. 49-64
    • Breiman, L.1
  • 5
    • 0027607617 scopus 로고
    • A comparison of decision tree classifiers with backpropagation neural networks for multimodal classification problems
    • D.E. Brown, V. Corruble, and C.L. Pittard A comparison of decision tree classifiers with backpropagation neural networks for multimodal classification problems Pattern Recognition 26 6 1993 953 961
    • (1993) Pattern Recognition , vol.26 , Issue.6 , pp. 953-961
    • Brown, D.E.1    Corruble, V.2    Pittard, C.L.3
  • 9
    • 0028416730 scopus 로고
    • Neural networks, decision tree induction and discriminant analysis: An empirical comparison
    • S.P. Curram, and J. Mingers Neural networks, decision tree induction and discriminant analysis: An empirical comparison Journal of the Operational Research Society 45 4 1994 440 450
    • (1994) Journal of the Operational Research Society , vol.45 , Issue.4 , pp. 440-450
    • Curram, S.P.1    Mingers, J.2
  • 12
    • 0037085106 scopus 로고    scopus 로고
    • An experimental study of the effect of dizitizing parameters on ditizing uncertainty with a CMM
    • C.-X. Feng, and V. Pandey An experimental study of the effect of dizitizing parameters on ditizing uncertainty with a CMM International Journal of Production Research 40 3 2002 687 697
    • (2002) International Journal of Production Research , vol.40 , Issue.3 , pp. 687-697
    • Feng, C.-X.1    Pandey, V.2
  • 13
    • 0036611175 scopus 로고    scopus 로고
    • Digitizing uncertainty modeling for reverse engineering applications: Regression versus neural networks
    • C.-X. Feng, and X. Wang Digitizing uncertainty modeling for reverse engineering applications: Regression versus neural networks Journal of Intelligent Manufacturing 13 3 2002 189 199
    • (2002) Journal of Intelligent Manufacturing , vol.13 , Issue.3 , pp. 189-199
    • Feng, C.-X.1    Wang, X.2
  • 16
    • 0026584407 scopus 로고
    • Application of artificial neural network to computer-aided diagnosis of coronary artery disease in myocardial spect Bull's-eye images
    • H. Fujita, T. Katafuchi, T. Uehara, and T. Nishimura Application of artificial neural network to computer-aided diagnosis of coronary artery disease in myocardial spect Bull's-eye images Journal of Nuclear Medicine 33 2 1992 272 276
    • (1992) Journal of Nuclear Medicine , vol.33 , Issue.2 , pp. 272-276
    • Fujita, H.1    Katafuchi, T.2    Uehara, T.3    Nishimura, T.4
  • 17
    • 0036689146 scopus 로고    scopus 로고
    • Improving health care organizational management through neural network learning
    • E.P. Goss, and G.S. Vozikis Improving health care organizational management through neural network learning Health Care Management Science 5 3 2002 221 227
    • (2002) Health Care Management Science , vol.5 , Issue.3 , pp. 221-227
    • Goss, E.P.1    Vozikis, G.S.2
  • 20
    • 0028445840 scopus 로고
    • Neural network models for intelligent support of managerial decision making
    • T.R. Hill, and W.E. Remus Neural network models for intelligent support of managerial decision making Decision Support Systems 11 5 1994 449 459
    • (1994) Decision Support Systems , vol.11 , Issue.5 , pp. 449-459
    • Hill, T.R.1    Remus, W.E.2
  • 22
    • 0027904982 scopus 로고
    • Determining market response functions by neural network modeling: A comparison to econometric techniques
    • H. Hruschka Determining market response functions by neural network modeling: A comparison to econometric techniques European Journal of Operational Research 66 1993 27 35
    • (1993) European Journal of Operational Research , vol.66 , pp. 27-35
    • Hruschka, H.1
  • 23
    • 0031284208 scopus 로고
    • An example of simulation optimization using a neural network metamodel: Finding the optimal number of Kanbans in manufacturing system
    • R.D. Hurrion An example of simulation optimization using a neural network metamodel: Finding the optimal number of Kanbans in manufacturing system Journal of Operational Research Society 48 11 1992 1105 1112
    • (1992) Journal of Operational Research Society , vol.48 , Issue.11 , pp. 1105-1112
    • Hurrion, R.D.1
  • 25
    • 84990623231 scopus 로고
    • Performance of selected part-machine grouping techniques for data sets of wide ranging sizes and imperfections
    • S. Kaparthi, and N. Suresh Performance of selected part-machine grouping techniques for data sets of wide ranging sizes and imperfections Decision Sciences 25 4 1994 515 539
    • (1994) Decision Sciences , vol.25 , Issue.4 , pp. 515-539
    • Kaparthi, S.1    Suresh, N.2
  • 26
    • 0002626746 scopus 로고
    • Stock market predictions with modular neural networks
    • R.R. Trippi E. Turban Probus Chicago, IL
    • T. Kimoto, K. Asakawa, M. Yoda, and M. Takeoka Stock market predictions with modular neural networks R.R. Trippi E. Turban Neural networks in finance and investing 1993 Probus Chicago, IL 343 356
    • (1993) Neural Networks in Finance and Investing , pp. 343-356
    • Kimoto, T.1    Asakawa, K.2    Yoda, M.3    Takeoka, M.4
  • 27
    • 0001395037 scopus 로고
    • An empirical comparison of neural networks and logistic regression models
    • A. Kumar, V.R. Rao, and H. Soni An empirical comparison of neural networks and logistic regression models Marketing Letters 6 4 1995 251 263
    • (1995) Marketing Letters , vol.6 , Issue.4 , pp. 251-263
    • Kumar, A.1    Rao, V.R.2    Soni, H.3
  • 28
    • 0030392357 scopus 로고    scopus 로고
    • Combining classifiers in text categorization
    • 19th ACM international conference on research and development in information retrieval. New York: ACM Press
    • Larkey, L., Croft, B. (1996). Combining classifiers in text categorization. Proceedings of SIGIR-96, 19th ACM international conference on research and development in information retrieval. New York: ACM Press. pp. 289-297.
    • (1996) Proceedings of SIGIR-96 , pp. 289-297
    • Larkey, L.1    Croft, B.2
  • 32
    • 78649742351 scopus 로고
    • Integrating neural networks and semi-Markov processes for automated knowledge acquisition: An application to real time scheduling
    • T.P. Liang, H. Markowitz, and Y. Yih Integrating neural networks and semi-Markov processes for automated knowledge acquisition: An application to real time scheduling Decision Sciences 23 6 1992 1297 1314
    • (1992) Decision Sciences , vol.23 , Issue.6 , pp. 1297-1314
    • Liang, T.P.1    Markowitz, H.2    Yih, Y.3
  • 33
    • 0023331258 scopus 로고
    • An introduction to computing with neural nets
    • R.P. Lippmann An introduction to computing with neural nets IEEE ASSP Magazine 1987 4 22
    • (1987) IEEE ASSP Magazine , pp. 4-22
    • Lippmann, R.P.1
  • 34
    • 0030306681 scopus 로고    scopus 로고
    • A multivariate time-series prediction model for cash-flow data
    • K.S. Lorek, and G.L. Willinger A multivariate time-series prediction model for cash-flow data Accounting Review 71 1 1996 81 102
    • (1996) Accounting Review , vol.71 , Issue.1 , pp. 81-102
    • Lorek, K.S.1    Willinger, G.L.2
  • 35
    • 0012406164 scopus 로고    scopus 로고
    • Kanban setting through artificial intelligence: A comparative study of artificial neural networks and decision threes
    • I.S. Markham, R.G. Mathieu, and B.A. Wray Kanban setting through artificial intelligence: A comparative study of artificial neural networks and decision threes Integrated Manufacturing 11 4 2000 239
    • (2000) Integrated Manufacturing , vol.11 , Issue.4 , pp. 239
    • Markham, I.S.1    Mathieu, R.G.2    Wray, B.A.3
  • 40
    • 0002215771 scopus 로고    scopus 로고
    • Optimum design based on mathematical model and neural network to predict weld parameters for fillet joints
    • H.-S. Moon, and S.-J. Na Optimum design based on mathematical model and neural network to predict weld parameters for fillet joints Journal of Manufacturing Systems 16 1 1997 13 23
    • (1997) Journal of Manufacturing Systems , vol.16 , Issue.1 , pp. 13-23
    • Moon, H.-S.1    Na, S.-J.2
  • 43
    • 2342469481 scopus 로고    scopus 로고
    • Predicting housing value: A comparison of multiple regression analysis and artificial neural networks
    • N. Nguyen, and A. Cripps Predicting housing value: A comparison of multiple regression analysis and artificial neural networks The Journal of Real Estate Research 22 3 2001 313 336
    • (2001) The Journal of Real Estate Research , vol.22 , Issue.3 , pp. 313-336
    • Nguyen, N.1    Cripps, A.2
  • 44
    • 0036626361 scopus 로고    scopus 로고
    • Leveraging the strengths of choice models and neural networks: A multiproduct comparative analysis
    • P. Papatla, F. Zahedi, and M. Zezic-Susac Leveraging the strengths of choice models and neural networks: A multiproduct comparative analysis Decision Sciences 33 3 2002 433 468
    • (2002) Decision Sciences , vol.33 , Issue.3 , pp. 433-468
    • Papatla, P.1    Zahedi, F.2    Zezic-Susac, M.3
  • 45
    • 0031706783 scopus 로고    scopus 로고
    • A neural network process model for abrasive flow machining operations
    • K.L. Petri, R.E. Billo, and B. Bidanda A neural network process model for abrasive flow machining operations Journal of Manufacturing Systems 17 1 1998 52 64
    • (1998) Journal of Manufacturing Systems , vol.17 , Issue.1 , pp. 52-64
    • Petri, K.L.1    Billo, R.E.2    Bidanda, B.3
  • 46
    • 0026121558 scopus 로고
    • A neural network expert system for diagnosing and treating hypertension
    • R. Poli, S. Cagnoni, R. Livi, G. Coppini, and G. Valli A neural network expert system for diagnosing and treating hypertension Computer 1991 64 71
    • (1991) Computer , pp. 64-71
    • Poli, R.1    Cagnoni, S.2    Livi, R.3    Coppini, G.4    Valli, G.5
  • 48
    • 0023803244 scopus 로고
    • Predicting the secondary structure of globular proteins using neural network models
    • N. Qian, and T.J. Sejnowski Predicting the secondary structure of globular proteins using neural network models Journal of Molecular Biology 202 1988 865 884
    • (1988) Journal of Molecular Biology , vol.202 , pp. 865-884
    • Qian, N.1    Sejnowski, T.J.2
  • 49
    • 0000696616 scopus 로고
    • Neural networks and related methods for classification
    • B.D. Ripley Neural networks and related methods for classification Journal of the Royal Statistical Society B 56 3 1994 409 456
    • (1994) Journal of the Royal Statistical Society B , vol.56 , Issue.3 , pp. 409-456
    • Ripley, B.D.1
  • 50
    • 0022471098 scopus 로고
    • Learning representations by back-propagating error
    • D.E. Rumelhart, G.E. Hinton, and R.J. Williams Learning representations by back-propagating error Nature 323 1986 533 536 Reprinted in Anderson and Rosenfeld [1988], pp. 696-699
    • (1986) Nature , vol.323 , pp. 533-536
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 54
    • 0034264056 scopus 로고    scopus 로고
    • Diagnosis of MRSA with neural networks and logistic regression approach
    • J.S. Shang, Y.E. Lin, and A.M. Goetz Diagnosis of MRSA with neural networks and logistic regression approach Health Care Management Science 3 4 2000 287 297
    • (2000) Health Care Management Science , vol.3 , Issue.4 , pp. 287-297
    • Shang, J.S.1    Lin, Y.E.2    Goetz, A.M.3
  • 56
    • 0031336193 scopus 로고    scopus 로고
    • Cost estimation predictive modeling: Regression versus neural network
    • A.E. Smith, and A.K. Mason Cost estimation predictive modeling: Regression versus neural network The Engineering Economist 42 2 1997 137 161
    • (1997) The Engineering Economist , vol.42 , Issue.2 , pp. 137-161
    • Smith, A.E.1    Mason, A.K.2
  • 59
    • 0000629975 scopus 로고
    • Cross-validation choice and assessment of statistical predictions
    • M. Stone Cross-validation choice and assessment of statistical predictions Journal of the Royal Statistical Society, Series B 36 2 1974 111 147
    • (1974) Journal of the Royal Statistical Society, Series B , vol.36 , Issue.2 , pp. 111-147
    • Stone, M.1
  • 61
    • 84997479670 scopus 로고
    • Managerial applications of neural networks: The case of bank failure predictions
    • K.Y. Tam, and M.Y. Kiang Managerial applications of neural networks: The case of bank failure predictions Management Science 38 7 1992 926 947
    • (1992) Management Science , vol.38 , Issue.7 , pp. 926-947
    • Tam, K.Y.1    Kiang, M.Y.2
  • 63
    • 0030327681 scopus 로고    scopus 로고
    • Understanding neural networks as statistical tools
    • B. Warner, and M. Misra Understanding neural networks as statistical tools The American Statistician 50 4 1996 284 293
    • (1996) The American Statistician , vol.50 , Issue.4 , pp. 284-293
    • Warner, B.1    Misra, M.2
  • 64
    • 0000196417 scopus 로고
    • The time series of annual accounting EPS (in Research Reports)
    • R.L. Watts, and R.W. Leftwich The time series of annual accounting EPS (in Research Reports) Journal of Accounting Research 15 2 1977 253 271
    • (1977) Journal of Accounting Research , vol.15 , Issue.2 , pp. 253-271
    • Watts, R.L.1    Leftwich, R.W.2
  • 66
    • 0031283672 scopus 로고    scopus 로고
    • A comparative analysis of neural networks and statistical methods for predicting consumer choice
    • P. West, P.L. Brockett, and L.L. Golden A comparative analysis of neural networks and statistical methods for predicting consumer choice Marketing Science 16 4 1997 370 391
    • (1997) Marketing Science , vol.16 , Issue.4 , pp. 370-391
    • West, P.1    Brockett, P.L.2    Golden, L.L.3
  • 70
    • 0026692226 scopus 로고
    • Stacked generalization
    • D. Wolport Stacked generalization Neural networks 5 2 1992 241 259
    • (1992) Neural Networks , vol.5 , Issue.2 , pp. 241-259
    • Wolport, D.1
  • 71
    • 0031125026 scopus 로고    scopus 로고
    • Neural network applications in business: A review and analysis of the literature (1988-95)
    • B.K. Wong, T.V. Bodnovich, and Y. Selvi Neural network applications in business: A review and analysis of the literature (1988-95) Decision Support Systems 19 4 1997 301 320
    • (1997) Decision Support Systems , vol.19 , Issue.4 , pp. 301-320
    • Wong, B.K.1    Bodnovich, T.V.2    Selvi, Y.3
  • 73
    • 0026860706 scopus 로고
    • Methods for combining multiple classifiers and their applications to handwriting recognition
    • L. Xu, A. Kryzak, and C.Y. Suen Methods for combining multiple classifiers and their applications to handwriting recognition IEEE Transactions on Systems, Man and Cybernetics 22 3 1992 418 435
    • (1992) IEEE Transactions on Systems, Man and Cybernetics , vol.22 , Issue.3 , pp. 418-435
    • Xu, L.1    Kryzak, A.2    Suen, C.Y.3
  • 74
    • 0034627923 scopus 로고    scopus 로고
    • Prediction of die casting process parameters by using an artificial neural network model for zinc alloy
    • P.K.D.V. Yarlagadda Prediction of die casting process parameters by using an artificial neural network model for zinc alloy International Journal of Production research 38 1 2000 119 139
    • (2000) International Journal of Production Research , vol.38 , Issue.1 , pp. 119-139
    • Yarlagadda, P.K.D.V.1
  • 75
    • 0034659593 scopus 로고    scopus 로고
    • Improved neural network models for reverse engineering
    • M. Yang, and E. Lee Improved neural network models for reverse engineering International Journal of Production Research 38 9 2000 2067 2078
    • (2000) International Journal of Production Research , vol.38 , Issue.9 , pp. 2067-2078
    • Yang, M.1    Lee, E.2
  • 77
    • 0032148763 scopus 로고    scopus 로고
    • An investigation of neural networks in thyroid function diagnosis
    • G. Zhang, and V. Berardi An investigation of neural networks in thyroid function diagnosis Health Care Management Science 1 1999 29 37
    • (1999) Health Care Management Science , vol.1 , pp. 29-37
    • Zhang, G.1    Berardi, V.2
  • 78
    • 0035364957 scopus 로고    scopus 로고
    • Time series forecasting with neural network ensembles: An application for exchange rate prediction
    • G. Zhang, and V. Berardi Time series forecasting with neural network ensembles: An application for exchange rate prediction Journal of the Operational Research Society 52 6 2001 652 664
    • (2001) Journal of the Operational Research Society , vol.52 , Issue.6 , pp. 652-664
    • Zhang, G.1    Berardi, V.2
  • 79
    • 0000414908 scopus 로고
    • Applications of neural network applications in manufacturing: A state-of-the-art survey
    • H.-C. Zhang, and S.H. Huang Applications of neural network applications in manufacturing: A state-of-the-art survey International Journal of Production Research 33 1995 705 728
    • (1995) International Journal of Production Research , vol.33 , pp. 705-728
    • Zhang, H.-C.1    Huang, S.H.2
  • 80
    • 0000414983 scopus 로고    scopus 로고
    • Improving error compensation via a fuzzy-neural hybrid model
    • E.P. Zhou, and D.K. Harrison Improving error compensation via a fuzzy-neural hybrid model Journal of Manufacturing Systems 18 5 1999 335 344
    • (1999) Journal of Manufacturing Systems , vol.18 , Issue.5 , pp. 335-344
    • Zhou, E.P.1    Harrison, D.K.2
  • 81
    • 16244420603 scopus 로고    scopus 로고
    • Neural networks earning per share forecasting models: A comparative analysis of alternative methods
    • W. Zhang, Q. Cao, and M.J. Schniederjans Neural networks earning per share forecasting models: A comparative analysis of alternative methods Decision Sciences 35 2 2004 205 237
    • (2004) Decision Sciences , vol.35 , Issue.2 , pp. 205-237
    • Zhang, W.1    Cao, Q.2    Schniederjans, M.J.3


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