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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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