Forecasting models for Taiwanese tourism demand after allowance for Mainland China tourists visiting Taiwan
暂无分享,去创建一个
[1] C. Lim,et al. Review of international tourism demand models. , 1997 .
[2] John Snyder,et al. Using a neural network to forecast visitor behavior , 1996 .
[3] R. Engle. Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation , 1982 .
[4] Gang Li,et al. Tourism Demand Forecasting: A Time Varying Parameter Error Correction Model , 2006 .
[5] Michael McAleer,et al. Forecasting tourist arrivals , 2001 .
[6] Wei-Chiang Hong,et al. An Improved Neural Network Model in Forecasting Arrivals , 2005 .
[7] Massimiliano Versace,et al. Predicting the exchange traded fund DIA with a combination of genetic algorithms and neural networks , 2004, Expert Syst. Appl..
[8] Wei-Chiang Hong,et al. SVR with hybrid chaotic genetic algorithms for tourism demand forecasting , 2011, Appl. Soft Comput..
[9] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[10] Fong-Lin Chu,et al. A fractionally integrated autoregressive moving average approach to forecasting tourism demand , 2007, Tourism Management.
[11] John A. Bullinaria,et al. Using evolution to improve neural network learning: pitfalls and solutions , 2007, Neural Computing and Applications.
[12] Fong-Lin Chu,et al. Forecasting tourism demand with ARMA-based methods. , 2009 .
[13] Shu-Heng Chen,et al. Genetic Algorithms and Genetic Programming in Computational Finance , 2002 .
[14] Cheng-Hua Wang,et al. Support vector regression with genetic algorithms in forecasting tourism demand , 2007 .
[15] Marco van Akkeren,et al. A GARCH forecasting model to predict day-ahead electricity prices , 2005, IEEE Transactions on Power Systems.
[16] Egon Smeral,et al. Does Complexity Matter? Methods for Improving Forecasting Accuracy in Tourism: The Case of Austria , 2004 .
[17] Marc J. Schniederjans,et al. A comparison between Fama and French's model and artificial neural networks in predicting the Chinese stock market , 2005, Comput. Oper. Res..
[18] J. E. Payne,et al. Short term forecasting of electricity prices for MISO hubs: Evidence from ARIMA-EGARCH models , 2008 .
[19] L. Gil‐Alana,et al. Tourism in the Canary Islands: Forecasting Using Several Seasonal Time Series Models , 2008 .
[20] Randall S. Sexton,et al. Toward global optimization of neural networks: A comparison of the genetic algorithm and backpropagation , 1998, Decis. Support Syst..
[21] Xiaolong Zhang,et al. Inventory control under temporal demand heteroscedasticity , 2007, Eur. J. Oper. Res..
[22] Bahram Alidaee,et al. Global optimization for artificial neural networks: A tabu search application , 1998, Eur. J. Oper. Res..
[23] L. Yi-Hui,et al. Evolutionary neural network modeling for forecasting the field failure data of repairable systems , 2007, Expert Syst. Appl..
[24] James L. McClelland,et al. Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .
[25] Michèle Hibon,et al. Accuracy of Forecasting: An Empirical Investigation , 1979 .
[26] Fong-Lin Chu,et al. Forecasting tourism demand in asian-pacific countries , 1998 .
[27] Haiyan Song,et al. Tourism Demand Forecasting , 2006 .
[28] Richard P. Lippmann,et al. An introduction to computing with neural nets , 1987 .
[29] Russell P. Robins,et al. Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model , 1987 .
[30] Jing Shi,et al. Applying ARMA–GARCH approaches to forecasting short-term electricity prices , 2013 .
[31] Rob Law,et al. Modeling and forecasting tourism demand for arrivals with stochastic nonstationary seasonality and intervention. , 2002 .
[32] Olli-Pekka Hilmola,et al. Forecasting and Risk Analysis in Supply Chain Management: GARCH Proof of Concept , 2008 .
[33] Haiyan Song,et al. Tourism demand modelling and forecasting—A review of recent research , 2008 .
[34] Xu Wenhua,et al. Training neural network with genetic algorithms for forecasting the stock price index , 1997, 1997 IEEE International Conference on Intelligent Processing Systems (Cat. No.97TH8335).
[35] V. Cho. Tourism Forecasting and its Relationship with Leading Economic Indicators , 2001 .
[36] Fabio Roli,et al. Stock Market Prediction by a Mixture of Genetic-Neural Experts , 2002, Int. J. Pattern Recognit. Artif. Intell..
[37] Ingoo Han,et al. Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index , 2000 .
[38] Gerard S. Dharmaratne,et al. Forecasting tourist arrivals in Barbados , 1995 .
[39] L. Darrell Whitley,et al. Genetic algorithms and neural networks: optimizing connections and connectivity , 1990, Parallel Comput..
[40] B. Adrangi,et al. The demand for US air transport service: a chaos and nonlinearity investigation , 2001 .
[41] Mona R. El Shazly,et al. Forecasting currency prices using a genetically evolved neural network architecture , 1999 .
[42] Rob Law,et al. A neural network model to forecast Japanese demand for travel to Hong Kong , 1999 .
[43] T. Bollerslev,et al. Generalized autoregressive conditional heteroskedasticity , 1986 .
[44] R. Law. Back-propagation learning in improving the accuracy of neural network-based tourism demand forecasting , 2000 .
[45] D. Rubinfeld,et al. Econometric models and economic forecasts , 2002 .