2018
DOI: 10.18488/journal.79.2018.51.12.30
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Forecasting Air Passengers of Changi Airport Based on Seasonal Decomposition and an LSSVM Model

Abstract: This work aimed to determine a suitable method to provide air traffic passenger forecasts of Changi airport. A linear forecasting technique in the form of a seasonal autoregressive integrated moving average (SARIMA) model and a nonlinear technique known as the least squares support vector machine (LSSVM) were compared. A hybrid X-13 LSSVM approach was also compared. A fourth approach was proposed to leverage the outputs of the hybrid X-13 LSSVM method to conduct forecasts for longer forecasting horizons. Resul… Show more

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Cited by 4 publications
(2 citation statements)
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“…The airplane equipped with a signal generator transmits pilot signals and the ground station receives and saves the signal to analyze the air-to-ground channels. Since the Zadoff-Chu (ZC) sequence has good auto correlation property [7][8][9], the ZC sequence is used for the pilot signal. The ground station is located in mountainous area since the Korean terrain is mostly mountain.…”
Section: Introductionmentioning
confidence: 99%
“…The airplane equipped with a signal generator transmits pilot signals and the ground station receives and saves the signal to analyze the air-to-ground channels. Since the Zadoff-Chu (ZC) sequence has good auto correlation property [7][8][9], the ZC sequence is used for the pilot signal. The ground station is located in mountainous area since the Korean terrain is mostly mountain.…”
Section: Introductionmentioning
confidence: 99%
“…of soil erosion (tons / ha / year) R = Rain Erosion (cm) K = soil accessibility L = lerang length (m) S = Slope of slope (%) C = Ground cover vegetation and crop management P = Specific action factor for soil conservation used(Arsyad, 2010;Vu & Zhong 2018) …”
mentioning
confidence: 99%