How to cite this paper
& . (2013). An application of artificial neural network to predict the added value of oil, gas and petroleum industry products.Management Science Letters , 3(8), 2349-2356.
Refrences
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Chakraborty, K., Mehrotra, K., Mohan, C. K., & Ranka, S. (1992). Forecasting the behavior of
multivariate time series using neural networks. Neural networks,5(6), 961-970.
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competitive advantage. 9th ed., McGraw-Hill Irwin.
Chen, A. S., Leung, M. T., & Daouk, H. (2003). Application of neural networks to an emerging
financial market: forecasting and trading the Taiwan stock index. Computers & Operations
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Chen, A. S., & Leung, M. T. (2004). Regression neural network for error correction in foreign
exchange forecasting and trading. Computers & Operations Research, 31(7), 1049-1068.
Darbellay, G. A., & Slama, M. (2000). Forecasting the short-term demand for electricity: Do neural
networks stand a better chance?. International Journal of Forecasting, 16(1), 71-83.
Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series
with a unit root. Journal of the American statistical association, 74(366a), 427-431.
Hsiao, S. H., & Whang, T. J. (2009). A study of financial insolvency prediction model for life
insurers. Expert systems with applications, 36(3), 6100-6107.
Jay, H., & Barry, R. (2001). Principles of Operations Management, 4th ed., Prentice Hall Inc., New
Jersey.
Khaloozadeh, H., & Khaki Sedigh, A. (2003). Evaluating methods of the share price forecastability in
Tehran stock exchange. Journal of Modarres, The Faculty of humanities Tarbiat Modarres
University, Quarterly Journal, 7(3), 61-89. (In Persian).
Lahmiri, S. (2012). Resilient back-propagation algorithm, technical analysis and the predictability of
time series in the financial industry. Decision Science Letters, 1(2), 47-52.
Leung, M. T., Chen, A. S., & Daouk, H. (2000). Forecasting exchange rates using general regression
neural networks. Computers & Operations Research,27(11), 1093-1110.
Menhaj, M. B. (1998). Fundamentals of neural networks. Computational intelligence, 1, 222-229.
Oskouei, M. (2002). Application of Neural Networks in time series anticipation. Iranian Journal of
Economic Research, 12.
Olson, D., & Mossman, C. (2003). Neural network forecasts of Canadian stock returns using
accounting ratios. International Journal of Forecasting, 19(3), 453-465.
Pesaran, M. H., & Pesaran, B. (1997). Working with Microfit 4.0: interactive econometric analysis.
Oxford University Press.
Salam, A., Defersha, F & Bhuiyan, N. (2012). A case study to estimate costs using Neural Networks
and regression based models. Decision Science Letters, 1(1), 1-10.
Son, J. S., Lee, D. M., Kim, I. S., & Choi, S. K. (2004). A study on genetic algorithm to select
architecture of a optimal neural network in the hot rolling process. Journal of Materials
Processing Technology, 153, 643-648.
Tkacz, G. (2001). Neural network forecasting of Canadian GDP growth. International Journal of
Forecasting, 17(1), 57-69.
Toth, E., Brath, A., & Montanari, A. (2000). Comparison of short-term rainfall prediction models for
real-time flood forecasting. Journal of Hydrology, 239(1), 132-147.
Willmott, C. J. (1982). Some comments on the evaluation of model performance. Bulletin of the
American Meteorological Society, 63(11), 1309-1313.
publication institute, 137 pages.
Cao, L., & Tay, F. E. (2001). Financial forecasting using support vector machines. Neural Computing
& Applications, 10(2), 184-192.
Chakraborty, K., Mehrotra, K., Mohan, C. K., & Ranka, S. (1992). Forecasting the behavior of
multivariate time series using neural networks. Neural networks,5(6), 961-970.
Chase, R. B., Jacobs, F. R., Aquilano, N. J., & Ren, J. (2006). Operations management for
competitive advantage. 9th ed., McGraw-Hill Irwin.
Chen, A. S., Leung, M. T., & Daouk, H. (2003). Application of neural networks to an emerging
financial market: forecasting and trading the Taiwan stock index. Computers & Operations
Research, 30(6), 901-923.
Chen, A. S., & Leung, M. T. (2004). Regression neural network for error correction in foreign
exchange forecasting and trading. Computers & Operations Research, 31(7), 1049-1068.
Darbellay, G. A., & Slama, M. (2000). Forecasting the short-term demand for electricity: Do neural
networks stand a better chance?. International Journal of Forecasting, 16(1), 71-83.
Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series
with a unit root. Journal of the American statistical association, 74(366a), 427-431.
Hsiao, S. H., & Whang, T. J. (2009). A study of financial insolvency prediction model for life
insurers. Expert systems with applications, 36(3), 6100-6107.
Jay, H., & Barry, R. (2001). Principles of Operations Management, 4th ed., Prentice Hall Inc., New
Jersey.
Khaloozadeh, H., & Khaki Sedigh, A. (2003). Evaluating methods of the share price forecastability in
Tehran stock exchange. Journal of Modarres, The Faculty of humanities Tarbiat Modarres
University, Quarterly Journal, 7(3), 61-89. (In Persian).
Lahmiri, S. (2012). Resilient back-propagation algorithm, technical analysis and the predictability of
time series in the financial industry. Decision Science Letters, 1(2), 47-52.
Leung, M. T., Chen, A. S., & Daouk, H. (2000). Forecasting exchange rates using general regression
neural networks. Computers & Operations Research,27(11), 1093-1110.
Menhaj, M. B. (1998). Fundamentals of neural networks. Computational intelligence, 1, 222-229.
Oskouei, M. (2002). Application of Neural Networks in time series anticipation. Iranian Journal of
Economic Research, 12.
Olson, D., & Mossman, C. (2003). Neural network forecasts of Canadian stock returns using
accounting ratios. International Journal of Forecasting, 19(3), 453-465.
Pesaran, M. H., & Pesaran, B. (1997). Working with Microfit 4.0: interactive econometric analysis.
Oxford University Press.
Salam, A., Defersha, F & Bhuiyan, N. (2012). A case study to estimate costs using Neural Networks
and regression based models. Decision Science Letters, 1(1), 1-10.
Son, J. S., Lee, D. M., Kim, I. S., & Choi, S. K. (2004). A study on genetic algorithm to select
architecture of a optimal neural network in the hot rolling process. Journal of Materials
Processing Technology, 153, 643-648.
Tkacz, G. (2001). Neural network forecasting of Canadian GDP growth. International Journal of
Forecasting, 17(1), 57-69.
Toth, E., Brath, A., & Montanari, A. (2000). Comparison of short-term rainfall prediction models for
real-time flood forecasting. Journal of Hydrology, 239(1), 132-147.
Willmott, C. J. (1982). Some comments on the evaluation of model performance. Bulletin of the
American Meteorological Society, 63(11), 1309-1313.