Login
- Titel:
Data pre-processing combined with Artificial Neural Network to improve the performance of time series modelling
- Dokumenttyp:
- Konferenzbeitrag
- Art des Konferenzbeitrags:
- Textbeitrag / Aufsatz
- Autor(en):
- Duong, Tran Anh; Bui, Minh Duc; Rutschmann, Peter
- Seitenangaben Beitrag:
- 659-660
- Kapitel Beitrag:
- 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-Dezimalklassifikation:
- 620 Ingenieurwissenschaften
- Herausgeber:
- Aronne Armanini and Elena Nucci
- Kongress- / Buchtitel:
- New Challenges in hydraulic research and engineering. Proc. of the 5th IAHR-Europe Congress
- Ausrichter der Konferenz:
- University of Trento, Italy and International Association for Hydro-Environment Engineering and Research (IAHR), Madrid, Spain
- Datum der Konferenz:
- 12 - 14 June, 2018
- Verlag / Institution:
- The International Association for Hydro-Environment Engineering and Research (IAHR)
- Verlagsort:
- Madrid, Spain
- Jahr:
- 2018
- E-ISBN:
- 978-981-11-2731-1
- Reviewed:
- ja
- Sprache:
- en
- Erscheinungsform:
- WWW
- WWW:
- http://event.unitn.it/iahr2018
- Copyright Informationen:
- Copyright © 2018 5th IAHR Europe Congress Organizers. All rights reserved.
- Format:
- Text
BibTeX