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
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;
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
