DocumentCode
519485
Title
Neural Network Non-linear Combination Forecasting Method and Its Application
Author
Ping, Hu
Author_Institution
Coll. of Sci., Wuhan Univ. of Sci. & Eng., Wuhan, China
Volume
1
fYear
2010
fDate
6-7 March 2010
Firstpage
18
Lastpage
21
Abstract
This paper adopted the artificial neural network, and also introduced the combination forecasting theory, established non-linear combination forecasting model based on artificial neural networks for hydrological time series forecasting. Though practical case calculating, and using the relevant evaluation index to analysis predict results, the results showed that non-linear combination forecasting method based on artificial neural network achieved better results than the original individual forecasting method.
Keywords
Application software; Arithmetic; Artificial neural networks; Computer networks; Educational institutions; Network topology; Neural networks; Predictive models; Supervised learning; BP algorithm; Evaluation index; combination forecasting theory; flood; forecasting; neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Challenges in Environmental Science and Computer Engineering (CESCE), 2010 International Conference on
Conference_Location
Wuhan, China
Print_ISBN
978-0-7695-3972-0
Electronic_ISBN
978-1-4244-5924-7
Type
conf
DOI
10.1109/CESCE.2010.118
Filename
5493337
Link To Document