Title :
Neural Network Non-linear Combination Forecasting Method and Its Application
Author_Institution :
Coll. of Sci., Wuhan Univ. of Sci. & Eng., Wuhan, China
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;
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
DOI :
10.1109/CESCE.2010.118