Combining deep neural network and fourier series for tourist arrivals forecasting
Accurate tourist arrivals forecasting is essential for governments and the private sector to formulate policies and allocate funds more effectively. In this paper, the modeling of tourist arrivals time series data was introduced in a hybrid modeling that combines the deep neural network (DNN) with t...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/93132/1/AniShabri2020_CombiningDeepNeuralNetwork.pdf http://eprints.utm.my/id/eprint/93132/ http://dx.doi.org/10.1088/1757-899X/864/1/012094 |
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