DocumentCode
517881
Title
Application of ANN in forecast of surface runoff
Author
Feng, L.H. ; Zhang, J.Z.
Author_Institution
Dept. of Geogr., Zhejiang Normal Univ., Jinhua, China
fYear
2010
fDate
11-13 May 2010
Firstpage
1
Lastpage
3
Abstract
Artificial Neural Networks (ANN) have the advantages of self-learning, self-organizing, and self-adapting. It is practical to use ANN technology to carry out forecast of surface runoff. Wet-and-low water changes of surface runoff have always been the focus of various researches. Regional water bodies are already being challenged by economic development. It shows that ANN technology is a relatively effective way of solving problems in forecast of surface runoff.
Keywords
Artificial neural networks; Economic forecasting; Feedforward systems; Mathematical model; Multi-layer neural network; Neural networks; Neurons; Pattern recognition; Technology forecasting; Water resources; BP Algorithm; forecast; surface runoff;
fLanguage
English
Publisher
ieee
Conference_Titel
Networked Computing (INC), 2010 6th International Conference on
Conference_Location
Gyeongju, Korea (South)
Print_ISBN
978-1-4244-6986-4
Electronic_ISBN
978-89-88678-20-6
Type
conf
Filename
5484831
Link To Document