Forecasting demand for low cost carriers in Australia using an artificial neural network approach
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[1] Steven D. Pike,et al. TOURISM DESTINATION PREFERENCES: A LONGITUDINAL ANALYSIS OF CONSUMER DECISION SETS , 2005 .
[2] Youqin Pan,et al. Hybrid Neural Network Model in Forecasting Aggregate U.S. Retail Sales , 2013 .
[3] Romesh Nagarajah,et al. A Neural Network Approach to Fluid Quantity Measurement in Dynamic Environments , 2012 .
[4] Chris Chatfield,et al. Time‐series forecasting , 2000 .
[5] Adekunle J. Aderamo,et al. Demand for Air Transport in Nigeria , 2010 .
[6] Iyad Mourani,et al. Optimization of Assembly Lines with Transportation Delay Using IPA , 2006 .
[7] JongKoo Jeon. Fuzzy and Neural Network Models for Analyses of Piles , 2007 .
[8] Gi-Nam Wang,et al. Pattern Classification of Back-Propagation Algorithm Using Exclusive Connecting Network , 2007 .
[9] J. M. Seixas,et al. A multivariate neural forecasting modeling for air transport – Preprocessed by decomposition: A Brazilian application , 2009 .
[10] Seraj Yousef Abed,et al. An econometric analysis of international air travel demand in Saudi Arabia , 2001 .
[11] Seraj Yousef Abed,et al. THE DETERMINANTS OF DOMESTIC AIR TRAVEL DEMAND IN THE KINGDOM OF SAUDI ARABIA , 2000 .
[12] Michael J. Watts,et al. Using artificial neural networks to determine the relative contribution of abiotic factors influencing the establishment of insect pest species , 2008, Ecol. Informatics.
[13] Lukasz Olipra,et al. The impact of low-cost carriers on tourism development in less famous destinations , 2012 .
[14] Yun Zeng,et al. Progress in developing an ANN model for air pollution index forecast , 2004 .
[15] Graham Wild,et al. The evolution of low cost carriers in Australia , 2014 .
[16] Kelvin K. W. Yau,et al. Predicting electricity energy consumption: A comparison of regression analysis, decision tree and neural networks , 2007 .
[17] A O BaFail,et al. APPLYING DATA MINING TECHNIQUES TO FORECAST NUMBER OF AIRLINE PASSENGERS IN SAUDI ARABIA (DOMESTIC AND INTERNATIONAL TRAVELS) , 2004 .
[18] Vadlamani Ravi,et al. Cash demand forecasting in ATMs by clustering and neural networks , 2014, Eur. J. Oper. Res..
[19] Chris Chatfield,et al. Time series forecasting with neural networks: a comparative study using the air line data , 2008 .
[20] Brian Graham,et al. Low-cost airlines in Europe: Reconciling liberalization and sustainability , 2008 .
[21] V R Rengaraju,et al. MODELING FOR AIR TRAVEL DEMAND : BY V.R. RENGARAJU AND V. THAMIZH ARASAN , 1992 .
[22] G. Peter Zhang,et al. A Combined ARIMA and Neural Network Approach for Time Series Forecasting , 2004 .
[23] A. P. Santos,et al. Forecasting period charter rates of VLCC tankers through neural networks: A comparison of alternative approaches , 2013, Maritime Economics & Logistics.
[24] Daming Shi,et al. Introduction to Neural Networks , 2009 .
[25] David E. Clark,et al. The Effects of 9/11 on the Airline Travel Industry , 2009 .
[26] Ignacio J. Turias,et al. Hybrid approaches based on SARIMA and artificial neural networks for inspection time series forecasting , 2014 .
[27] Nikola Kasabov,et al. Foundations Of Neural Networks, Fuzzy Systems, And Knowledge Engineering [Books in Brief] , 1996, IEEE Transactions on Neural Networks.
[28] Oscar Claveria,et al. Forecasting tourism demand to Catalonia: Neural networks vs. time series models , 2014 .
[29] Kevin L. Priddy,et al. Artificial neural networks - an introduction , 2005, Tutorial text series.
[30] José Eugenio Naranjo,et al. Bus line classification using neural networks , 2014 .
[31] Fredrik Kopsch. A demand model for domestic air travel in Sweden , 2012 .
[32] Sebahattin Tiryaki,et al. An artificial neural network model for predicting compression strength of heat treated woods and comparison with a multiple linear regression model , 2014 .
[33] T. Bieger,et al. Air transport and tourism—Perspectives and challenges for destinations, airlines and governments , 2006 .
[34] Tim Ryley,et al. Tourism destination preferences of low-cost airline users in the East Midlands , 2010 .
[35] James L. Nolan. Australia business : the portable encyclopedia for doing business with Australia , 1996 .
[36] Cliff T. Ragsdale,et al. A deterministic approach to small data set partitioning for neural networks , 2010 .
[37] David L. Elliott,et al. Neural Systems for Control , 1997 .
[38] Orhan Sivrikaya,et al. Demand Forecasting for Domestic Air Transportation in Turkey , 2013 .
[39] K. Mason. OBSERVATIONS OF FUNDAMENTAL CHANGES IN THE DEMAND FOR AVIATION SERVICES , 2005 .
[40] Ali Payıdar Akgüngör,et al. An artificial intelligent approach to traffic accident estimation: Model development and application , 2009 .
[41] 村上 英樹. 外国書購読 : Airline Economicsの基礎知識 , 2001 .
[42] J. Faraway,et al. Time series forecasting with neural networks: a comparative study using the air line data , 2008 .
[43] José Manoel de Seixas,et al. Forecasting the air transport demand for passengers with neural modelling , 2002, VII Brazilian Symposium on Neural Networks, 2002. SBRN 2002. Proceedings..
[44] Eva Gonzalez-Romera,et al. Monthly electric demand forecasting with neural filters , 2013 .
[45] Bruce Prideaux,et al. The Need to Use Disaster Planning Frameworks to Respond to Major Tourism Disasters , 2004 .
[46] Peter Forsyth,et al. Low-cost carriers in Australia: experiences and impacts , 2003 .
[47] Dipasis Bhadra. Demand for Air Travel in the United States: Bottom-Up Econometric Estimation and Implications for Forecasts by Origin-Destination Pairs , 2002 .
[48] Michael Y. Hu,et al. Forecasting with artificial neural networks: The state of the art , 1997 .
[49] Cengiz Kahraman,et al. A decision support system for demand forecasting with artificial neural networks and neuro-fuzzy models: A comparative analysis , 2009, Expert Syst. Appl..
[50] Tatiana O. Blinova,et al. Analysis of possibility of using neural network to forecast passenger traffic flows in Russia , 2007 .
[51] Salim Lahmiri,et al. A Comparative Study Of Backpropagation Algorithms In Financial Prediction , 2011 .
[52] G. Lee,et al. The decision. , 1999, The practising midwife.
[53] Ning An,et al. Using multi-output feedforward neural network with empirical mode decomposition based signal filtering for electricity demand forecasting , 2013 .
[54] Kishan G. Mehrotra,et al. Elements of artificial neural networks , 1996 .
[55] Guoqiang Peter Zhang,et al. Time series forecasting using a hybrid ARIMA and neural network model , 2003, Neurocomputing.
[56] Iman Aghayan,et al. Prediction for traffic accident severity: comparing the artificial neural network, genetic algorithm, combined genetic algorithm and pattern search methods , 2012 .
[57] Pat Hanlon,et al. Global Airlines: Competition in a transnational industry , 1996 .
[58] A. Graham. Have the major forces driving leisure airline traffic changed , 2006 .
[59] Óscar Clavería González,et al. Forecasting tourism demand to Catalonia: neural networks vs. time series models , 2014 .
[60] Marcin Mrugalski,et al. An unscented Kalman filter in designing dynamic GMDH neural networks for robust fault detection , 2013, Int. J. Appl. Math. Comput. Sci..
[61] Gang Li. The Nature of Leisure Travel Demand , 2016 .
[62] Igor N. Aizenberg,et al. Complex-Valued Neural Networks with Multi-Valued Neurons , 2011, Studies in Computational Intelligence.
[63] Rigas Doganis,et al. Flying Off Course: Airline Economics and Marketing , 2010 .
[64] Alexander T. Wells. Airport planning and management , 2000 .
[65] Martin T. Hagan,et al. Neural network design , 1995 .
[66] Kuo-Wei Chang,et al. Improving the forecasting accuracy of air passenger and air cargo demand: the application of back-propagation neural networks , 2012 .
[67] Peter Belobaba,et al. Overview of Airline Economics, Markets and Demand , 2009 .
[68] Juan de Oña,et al. Neural networks for analyzing service quality in public transportation , 2014, Expert Syst. Appl..
[69] Adnan Haider,et al. Neural network models for inflation forecasting: an appraisal , 2012 .
[70] James L. McClelland,et al. Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .
[71] B. Vasigh,et al. Introduction to Air Transport Economics: From Theory to Applications , 2008 .
[72] Theodore Tsekeris. Dynamic analysis of air travel demand in competitive island markets , 2009 .
[73] Andrew J. Cook,et al. European air traffic management : principles, practice, and research , 2007 .
[74] Albert Sesé,et al. Designing an artificial neural network for forecasting tourism time series , 2006 .
[75] Victor Sineglazov,et al. An algorithm for solving the problem of forecasting , 2013 .
[76] Jessica Lowell. Neural Network , 2001 .
[77] Simon Haykin,et al. Neural Networks: A Comprehensive Foundation , 1998 .
[78] Geoffrey E. Hinton,et al. Learning internal representations by error propagation , 1986 .
[79] William Remus,et al. Neural Networks for Time-Series Forecasting , 2001 .