Title :
The application of neural network technology in floodwater forecast
Author :
Xinhua, Cui ; Zhuying, Lin
Author_Institution :
Guizhou Normal Univ., Guiyang, China
Abstract :
This article mainly elaborated the neural network intelligence simulation´s basic principle, the method and the model, have analyzed each correlation factor emphatically to the flood forecasting precision influence, have constructed the reasonable neural network model to realize the floodwater condition performance forecast in the water conservation information construction.
Keywords :
floods; forecasting theory; neural nets; water conservation; correlation factor; flood forecasting precision influence; floodwater condition performance forecast; neural network intelligence simulation basic principle; neural network technology; reasonable neural network model; water conservation information construction; Artificial neural networks; Biological neural networks; Economic forecasting; Floods; Mathematical model; Neural networks; Neurons; Predictive models; Technology forecasting; Water conservation; forecast; neural network; the model;
Conference_Titel :
Networking and Digital Society (ICNDS), 2010 2nd International Conference on
Conference_Location :
Wenzhou
Print_ISBN :
978-1-4244-5162-3
DOI :
10.1109/ICNDS.2010.5479260
