زارع مهرجردی، محمدرضا و امیرحسین توحیدی. (1392). رابطه انتقالی نرخ ارز در بازارهای صادراتی پسته ایران: رویکرد دادههای تابلویی. 5، (2): 185-165.## نجفی، بهاالدین و محمدحسن طرازکار. (1385). پیشبینی میزان صادرات پسته ایران: کاربرد شبکه عصبی مصنوعی. پژوهشنامه بازرگانی، 10، (39): 214-191. ##
Adhikari, R. & R.K. Agrawal. (2014). A Combination of Artificial Neural Network and Random Walk Models For Financial Time Series Forecasting. Neural Computing and Applications, 24(6): 1441-1449. ##Areekul, P., T. Senjyu, H. Toyama & A. Yona. (2010). Notice of Violation of IEEE Publication Principles A Hybrid ARIMA and Neural Network Model for Short-Term Price Forecasting In Deregulated Market. Power Systems, IEEE Transactions on, 25(1): 524-530. ##Baltagi, B.H. (2005). Econometric Analysis of Panel Data. 3rd Edition, New York: John Wiley and Sons. ##Bildirici, M. & Ö.Ö. Ersin. (2009). Improving Forecasts of GARCH Family Models with The Artificial Neural Networks: An Application to The Daily Returns in Istanbul Stock Exchange. Expert Systems with Applications, 36(4): 7355-7362. ##Cantarella, G.E. & S.DE. Luca. (2005). Multilayer Feedforward Networks for Transportation Mode Choice Analysis: An Analysis and a Comparison with Random Utility Models. Transportation Research Part C: Emerging Technologies. 13(2): 121-155. ##Co, H.C. & R. Boosarawongse. (2007). Forecasting Thailand’s Rice Export: Statistical Techniques Vs. Artificial Neural Networks. Computers & industrial engineering. 53(4): 610-627. ##Diaz-Robles, L. A., J. C. Ortega, Fu, J.S. Reed, G.D. Chow, J.C. Watson, J.G. & J.A. Moncada-Herrera. (2008). A Hybrid ARIMA and Artificial Neural Networks Model to Forecast Particulate Matter in Urban Areas: The Case of Temuco, Chile. Atmospheric Environment, 42(35): 8331-8340. ##Faruk, D.Ö. (2010). A Hybrid Neural Network and ARIMA Model for Water Quality Time Series Prediction. Engineering Applications of Artificial Intelligence, 23(4): 586-594. ##Goldberg, P.K. & M.M. Knetter. (1997). Goods Prices and Exchange Rates: What Have We Learned?. Journal of Economic Literature. 35(3):1243-1272. ##Gujarati, D.N. (2003). Basic econometrics. 4th edition, New York: McGraw-Hill. ##Hoque, M.M. & A. Razzaque. (2004). Exchange Rate Pass-Through in Bangladesh's Export Prices: An Empirical Investigation. The Bangladesh Development Studies. 30 (1/2): 35-64. ##Jain, A. & A.M. Kumar. (2007). Hybrid Neural Network Models for Hydrologic Time Series Forecasting. Applied Soft Computing, 7(2): 585-592. ##Kaastra, I. & M. Boyd. (1996). Designing a Neural Network for Forecasting Financial and Economic Time Series. Neurocomputing, 10(3): 215-236. ##Khashei, M. & M. Bijari. (2011). A novel Hybridization of Artificial Neural Networks and ARIMA models for time series forecasting. Applied Soft Computing, 11(2): 2664-2675. ##Khashei, M., S. R. Hejazi & M. Bijari. (2008). A new Hybrid Artificial Neural Networks and Fuzzy Regression Model for Time Series Forecasting. Fuzzy Sets and Systems, 159(7): 769-786. ##Kim, K. H., J.K. Park, K.J. Hwang & S. H. Kim. (1995). Implementation of Hybrid Short-Term Load Forecasting System Using Artificial Neural Networks and Fuzzy Expert Systems. Power Systems, IEEE Transactions on, 10(3): 1534-1539. ##Lee, E.W., C. P. Lim, R.K. Yuen & S.M. Lo. (2004). A Hybrid Neural Network Model for Noisy Data Regression. Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, 34(2): 951-960. ##Leng, G., T. M. McGinnity & G. Prasad. (2005). An approach for on-Line Extraction of Fuzzy Rules Using A Self-Organising Fuzzy Neural Network. Fuzzy Sets and Systems, 150(2): 211-243. ##Liu, Z. K. & J.Y. Xiao. (1991). Classification of remotely-Sensed Image Data Using Artificial Neural Networks. Remote Sensing, 12(11): 2433-2438. ##Ruiz-Aguilar, J.J., I.J. Turias & M.J. Jiménez-Come. (2014). Hybrid Approaches Based on SARIMA and Artificial Neural Networks for Inspection Time Series Forecasting. Transportation Research Part E: Logistics and Transportation Review, 67: 1-13. ##Tseng, C.H., S.T. Cheng, Y. H. Wang & J.T. Peng. (2008). Artificial Neural Network Model of The Hybrid EGARCH Volatility of The Taiwan Stock Index Option Prices. Physica A: Statistical Mechanics and its Applications, 387(13): 3192-3200. ##Tseng, F.M., Yu, H.C. & G.H. Tzeng. (2002). Combining Neural Network Model with Seasonal Time Series ARIMA model. Technological Forecasting and Social Change, 69(1): 71-87. ##Wooldridge, J.M. (2006). Introductory Econometrics: A Modern Approach. 3rd Edition, New York: South-Western. ##Zhang, G.P. (2003). Time Series Forecasting Using A Hybrid ARIMA and Neural Network Model. Neurocomputing, 50: 159-175. ##