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Title:

Data pre-processing combined with Artificial Neural Network to improve the performance of time series modelling

Document type:
Konferenzbeitrag
Contribution type:
Textbeitrag / Aufsatz
Author(s):
Duong, Tran Anh; Bui, Minh Duc; Rutschmann, Peter
Pages contribution:
659-660
Chapter contribution:
Session: HM.3 Machine learning applied to hydraulic and hydrological modelling
Abstract:
Seasonal Decomposition (SD) and Discrete Wavelet Transform (DWT) techniques were linked into ANNs for predicting monthly rainfall in Ca-Mau province, Vietnam. Comparison between the calculated results using different models showed that the Meyer DWT combined with a Seasonal Artificial Neural Network (SANN) model provided the most accurate prediction.
Dewey Decimal Classification:
620 Ingenieurwissenschaften
Editor:
Aronne Armanini and Elena Nucci
Book / Congress title:
New Challenges in hydraulic research and engineering. Proc. of the 5th IAHR-Europe Congress
Organization:
University of Trento, Italy and International Association for Hydro-Environment Engineering and Research (IAHR), Madrid, Spain
Date of congress:
12 - 14 June, 2018
Publisher:
The International Association for Hydro-Environment Engineering and Research (IAHR)
Publisher address:
Madrid, Spain
Year:
2018
E-ISBN:
978-981-11-2731-1
Reviewed:
ja
Language:
en
Publication format:
WWW
WWW:
http://event.unitn.it/iahr2018
Copyright statement:
Copyright © 2018 5th IAHR Europe Congress Organizers. All rights reserved.
Format:
Text
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