DocumentCode
537484
Title
The Research of Precipitation Rating Classification Based on the Neural Network
Author
Wang Zhenzhen ; Bao YouWen
Author_Institution
Coll. of Inf., Beijing Union Univ., Beijing, China
fYear
2010
fDate
7-9 Nov. 2010
Firstpage
1
Lastpage
4
Abstract
Artificial neural network is an important research direction in data mining. It is used to solve classification and regression problems, and can find out the nonlinear relation between the input attribute and the output attribute, especially the smooth and continuous nonlinear relations. Use the Microsoft neural network to find out how the meteorological factors influence the precipitation, and to provide the decision support to the weather forecast.
Keywords
atmospheric precipitation; data mining; geophysics computing; meteorology; neural nets; regression analysis; weather forecasting; artificial neural network; continuous nonlinear relations; data mining; meteorological factors; precipitation rating classification; regression problems; Artificial neural networks; Biological neural networks; Data mining; Mathematical model; Neurons; Weather forecasting;
fLanguage
English
Publisher
ieee
Conference_Titel
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location
Henan
Print_ISBN
978-1-4244-7159-1
Type
conf
DOI
10.1109/ICEEE.2010.5661542
Filename
5661542
Link To Document