Comparison of neural networks and regression analysis: A new insight

Expert Systems with Applications

Volumn 29, Issue 2, 2005, Pages 424-430

  Kumar, Usha A ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

Author keywords

Neural networks; Regression; Skewness; Transformation

Indexed keywords

COMPUTER SIMULATION; DECISION MAKING; LEARNING SYSTEMS; MATHEMATICAL MODELS; POLYNOMIALS; REGRESSION ANALYSIS;

DECISION MAKING TOOL; DISCRIMINANT ANALYSIS; SKEWNESS; TRANSFORMED VARIABLES;

NEURAL NETWORKS;

EID: 22144437751     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2005.04.034     Document Type: Article

References (15)

1. J.F. Boritz, and D.B. Kennedy Effectiveness of neural network types for prediction of business failure Expert Systems with Applications 9 1995 503 512
2. L. Breiman, and J.H. Friedman Estimating optimal transformations for multiple regression and correlations (with discussion) Journal of the American Statistical Association 80 1985 580 619
3. W.L. Gorr, D. Nagin, and J. Szczypula Comparative study of artificial neural network and statistical models for predicting student grade point averages International Journal of Forecasting 10 1994 17 34
4. A.R. Gray, and S.G. MacDonell A comparison of techniques for developing predictive models of software metrics Information and Software Technology 39 1997 425 437
5. B.C. Hardgrave, R.L. Wilson, and K.A. Walstrom Predicting graduate student success: A comparison of neural networks and traditional techniques Computers and Operations Research 21 1994 249 263
6. H. Hruschka Determining market response functions by neural network modeling: A comparison to econometric techniques European Journal of Operational Research 66 1993 27 35
7. J. Neter, M.H. Kutner, C.J. Nachtsheim, and W. Wasserman Applied linear statistical models 4th ed. 1996 McGraw-Hill Chicago
8. W. Patuwo, M.Y. Hu, and M.S. Hung Two-group classification using neural networks Decision Sciences 24 1993 825 845
9. L.M. Salchenberger, E.M. Cinar, and N.A. Lash Neural networks: A new tool for predicting thrift failures Decision Sciences 23 1992 899 916
10. L. Shuhui, D.C. Wunsch, E.O. Hair, and M.G. Giesselmann Comparative analysis of regression and artificial neural network models for wind turbine power curve estimation Journal of Solar Energy Engineering 123 2001 327 332
11. P.N. SubbaNarasimha, B. Arinze, and M. Anandarajan The predictive accuracy of artificial neural networks and multiple regression in the case of skewed data: Exploration of some issues Expert Systems with Applications 19 2000 117 123
12. V. Subramanian, M.S. Hung, and M.Y. Hu An experimental evaluation of neural networks for classification Computers and Operations Research 20 1993 769 782
13. K.Y. Tam Neural network models and the prediction of bank bankruptcy Omega, The International Journal of Management Science 19 1991 429 445
14. K.Y. Tam, and M.Y. Kiang Managerial applications of neural networks: The case of bank failure predictions Management Science 38 1992 926 947
15. B. Warner, and M. Misra Understanding neural networks as statistical tools The American Statistician 50 1996 284 293