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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