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ESTIMATING A REGIONAL AIRPORT AIR PASSENGER DEMAND USING AN ARTIFICIAL NEURAL NETWORK APPROACH: THE CASE OF HUAHIN AIRPORT, THAILAND
Author(s) -
Panarat Srisaeng,
Glenn Baxter,
Parleda Sampaothong
Publication year - 2022
Publication title -
international journal for traffic and transport engineering
Language(s) - English
Resource type - Journals
eISSN - 2217-5652
pISSN - 2217-544X
DOI - 10.7708/ijtte2022.12(2).07
Subject(s) - artificial neural network , transport engineering , asde x , international airport , air travel , environmental science , engineering , marine engineering , automotive engineering , computer science , aviation , air traffic control , aerospace engineering , artificial intelligence

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