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Document type:
Konferenzbeitrag 
Contribution type:
Textbeitrag / Aufsatz 
Author(s):
Duong, Tran Anh; Bui, Minh Duc; Rutschmann, Peter 
Title:
Data pre-processing combined with Artificial Neural Network to improve the performance of time series modelling 
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 
Format:
Text