WITHDRAWN: Forecasting of nonlinear time series using artificial neural network
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Amr Badr | Hesham Hefny | Ahmed Tealab | H. Hefny | A. Badr | A. Tealab
[1] Noureddine Zerhouni,et al. Defining and applying prediction performance metrics on a recurrent NARX time series model , 2010, Neurocomputing.
[2] Ramazan Gençay,et al. Nonlinear modelling and prediction with feedforward and recurrent networks , 1997 .
[3] Rob J Hyndman,et al. 25 years of time series forecasting , 2006 .
[4] Michael Y. Hu,et al. A simulation study of artificial neural networks for nonlinear time-series forecasting , 2001, Comput. Oper. Res..
[5] Henry Ohlsson,et al. Asymmetric Time Series and Temporal Aggregation , 1999, Review of Economics and Statistics.
[6] Peter M. Robinson,et al. Modelling Nonlinearity and Long Memory in Time Series - (Now published in 'Nonlinear Dynamics and Time Series', C D Cutler and D T Kaplan (eds), Fields Institute Communications, 11 (1997), pp.61-170.) , 1997 .
[7] Kesten C. Green,et al. Seasonal Time Series Forecasting Models based on Artificial Neural Network , 2015 .
[8] Mehdi Khashei,et al. Combining seasonal ARIMA models with computational intelligence techniques for time series forecasting , 2012, Soft Comput..
[9] Kurt Hornik,et al. Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks , 1990, Neural Networks.
[10] Joao Luis Garcia Rosa. Artificial Neural Networks - Models and Applications , 2016 .
[11] P. Robinson,et al. The estimation of a nonlinear moving average model , 1977 .
[12] Guoqiang Peter Zhang,et al. An investigation of model selection criteria for neural network time series forecasting , 2001, Eur. J. Oper. Res..
[13] Guoqiang Peter Zhang,et al. Neural network forecasting for seasonal and trend time series , 2005, Eur. J. Oper. Res..
[14] Alvaro Escribano,et al. Improved Testing and Specification of Smooth Transition Regression Models , 1997 .
[15] Simon Haykin,et al. Neural Networks and Learning Machines , 2010 .
[16] Les E. Atlas,et al. Recurrent neural networks and robust time series prediction , 1994, IEEE Trans. Neural Networks.
[17] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.
[18] M. Medeiros,et al. Linear models, smooth transition autoregressions, and neural networks for forecasting macroeconomic time series: A re-examination , 2005 .
[19] Timo Teräsvirta,et al. Forecasting economic variables with nonlinear models , 2005 .
[20] Timo Teräsvirta,et al. POWER OF THE NEURAL NETWORK LINEARITY TEST , 1993 .
[21] Wilbert Sibanda,et al. Artificial Neural Networks- A Review of Applications of Neural Networks in the Modeling of HIV Epidemic , 2012 .
[22] Robert F. Engle,et al. Risk and Volatility: Econometric Models and Financial Practice , 2004 .
[23] P. Robinson,et al. Modelling memory of economic and financial time series , 2005 .
[24] La Rocca Michele,et al. 1 Model Selection for Neural Network Models: A Statistical Perspective , 2015 .
[25] A. Neil Burgess,et al. Modelling non-linear moving average processes using neural networks with error feedback: An application to implied volatility forecasting , 1999, Signal Process..
[26] Robert F. Engle,et al. The Reviewof Economicsand Statistics , 1999 .
[27] Kurt Hornik,et al. Approximation capabilities of multilayer feedforward networks , 1991, Neural Networks.
[28] Manuel G. Scotto,et al. Nonlinear Time Series Models , 2014 .
[29] Danqing Chen,et al. The stationarity and invertibility of a class of nonlinear ARMA models , 2011 .