Tourism forecasting using hybrid modified empirical mode decomposition and neural network

Tourism forecasting using hybrid modified empirical mode decomposition and neural network

Due to the dynamically increasing importance of the tourism industry worldwide, new approaches for tourism demand forecasting are constantly being explored especially in this Big Data era. Hence, the challenge lies in predicting accurate and timely forecast using tourism arrival data to assist gover...

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Bibliographic Details
Main Authors: Yahya, Nurhaziyatul Adawiyah, Samsudin, Ruhaidah, Shabri, Ani
Format: Article
Language:English
Published: International Center for Scientific Research and Studies 2017
Subjects:
Q Science
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/66467/1/RuhaidahSamsudin12017_TourismForecastingusingHybridModified.pdf
http://eprints.utm.my/id/eprint/66467/
http://home.ijasca.com/data/documents/Vol_9_1_ID-14_Pg14-31.pdf
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Institution: Universiti Teknologi Malaysia
Language: English

Internet

http://eprints.utm.my/id/eprint/66467/1/RuhaidahSamsudin12017_TourismForecastingusingHybridModified.pdf
http://eprints.utm.my/id/eprint/66467/
http://home.ijasca.com/data/documents/Vol_9_1_ID-14_Pg14-31.pdf

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