Time series forecasting of airline passenger no-shows using fir neural network
In airline industry, the accurate and reliable prediction of passenger no-shows is of paramount interest as it affects the profitability of an airline. This research studies the feasibility of using the Finite Impulse Response (FIR) neural networks (NN), as an alternative to the current methods of K...
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| Format: | Thesis |
| Language: | English |
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2002
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| Online Access: | http://eprints.utm.my/42817/1/MuhammadZalyShahPFGHT2022.pdf |