A cointegration analysis of annual tourism demand by Malaysia for Australia
Mathematics and Computers in Simulation - Selected papers of the MSSANZ/IMACS 13th biennial conference on modelling and simulation, Hamilton, New Zealand, December 1999
The adaptive neuro-fuzzy model for forecasting the domestic debt
Knowledge-Based Systems
Forecasting stock market short-term trends using a neuro-fuzzy based methodology
Expert Systems with Applications: An International Journal
International Journal of Systems Science
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Applying a Fuzzy and Neural Approach for Forecasting the Foreign Exchange Rate
International Journal of Fuzzy System Applications
Computational Intelligence and Neuroscience
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A self-organized, five-layer neuro-fuzzy model is developed to model the dynamics and to forecast air cargo and airline passenger by using the input of previous years' consumer price index, exchange rate, gross national product, and number of cargo volume/passenger traffic. Simulation results show that the neuro-fuzzy model is more effective than neural network in prediction and accurate in forecasting. The effectiveness in modeling, prediction and forecasting is validated, and the input error from the series-parallel identification method is attenuated by the neuro-fuzzy model to yield better forecasting results.