Causal Method and Time Series Forecasting model based on Artificial Neural Network

[1]  Kuan-Yu Chen,et al.  Combining linear and nonlinear model in forecasting tourism demand , 2011, Expert Syst. Appl..

[2]  Tamil Nadu,et al.  Forecast of Demand and Supply of Pulpwood using Artificial Neural Network , 2012 .

[3]  Daniel Ortiz Arroyo,et al.  Accurate Electricity Load Forecasting with Artificial Neural Networks , 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).

[4]  Norizan Mohamed,et al.  Forecasting Short Term Load Demand Using Multilayer Feed-forward (MLFF) Neural Network Model , 2012 .

[5]  Carman K.M. Lee,et al.  A Comparison between Neural Networks and Traditional Forecasting Methods: A Case Study , 2009 .

[6]  J. Armstrong,et al.  Illusions in Regression Analysis , 2011 .

[7]  J. Craggs.  Applied Mathematical Sciences , 1973 .

[8]  Bogdan M. Wilamowski,et al.  Neural Network Architectures , 2011, Intelligent Systems.

[9]  Kesten C. Green,et al.  Demand Forecasting: Evidence-Based Methods , 2005 .

[10]  Hao Yu,et al.  Improved Computation for Levenberg–Marquardt Training , 2010, IEEE Transactions on Neural Networks.

[11]  Bogdan M. Wilamowski,et al.  Neural Networks Learning , 2011, Intelligent Systems.

[12]  Michael Y. Hu,et al.  Forecasting with artificial neural networks: The state of the art , 1997 .