Estimation (Forecasting) of industrial production costs is one of the most important factor affecting decisions in the highly competitive markets. Thus, accuracy of the estimation is highly desirable. Hibrid Regression Neural Network is an approach proposed in this paper to obtain better fitness in comparison with Regression Analysis and the Neural Network methods. Comparing the estimated results from Regression Analysis and Neural Networks with the Hybrid Neural-Regression method has indicated the superiority of the latter method.
(2006). Estimation of Industrial Production Costs, Using Regression Analysis, Neural Networks or Hybrid Neural - Regression Method?. Iranian Economic Review, 11(16), 17-30. doi: 10.22059/ier.2006.30940
MLA
. "Estimation of Industrial Production Costs, Using Regression Analysis, Neural Networks or Hybrid Neural - Regression Method?", Iranian Economic Review, 11, 16, 2006, 17-30. doi: 10.22059/ier.2006.30940
HARVARD
(2006). 'Estimation of Industrial Production Costs, Using Regression Analysis, Neural Networks or Hybrid Neural - Regression Method?', Iranian Economic Review, 11(16), pp. 17-30. doi: 10.22059/ier.2006.30940
VANCOUVER
Estimation of Industrial Production Costs, Using Regression Analysis, Neural Networks or Hybrid Neural - Regression Method?. Iranian Economic Review, 2006; 11(16): 17-30. doi: 10.22059/ier.2006.30940
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