DocumentCode
2800779
Title
Wavelet neural network predication for epidemic outbreak
Author
Xiao-yi, Li ; Xu Zhao-di ; Zhen-peng, Li
Author_Institution
Sch. of Math. & Syst. Sci., Shenyang Normal Univ., Shenyang, China
fYear
2009
fDate
17-19 June 2009
Firstpage
3638
Lastpage
3641
Abstract
In order to predict the epidemic outbreak, this paper presented a wavelet neural network method. The wavelet neural network designing theory framework was also provided: wavelet function is used as activation function in recessive layer, the connection weights are decided by wavelet function coefficients. Finally, the presented method efficiency and feasibility were discussed by a simulation example, some key problems and research directions also summarized..
Keywords
diseases; medical computing; neural nets; wavelet transforms; activation function; epidemic outbreak; wavelet function; wavelet neural network; Application software; Artificial neural networks; Diseases; Function approximation; Neural networks; Nonlinear control systems; Probability density function; Signal analysis; Surveillance; Wavelet analysis; Classification and prediction; Fitting test; Wavelet function; Wavelet neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location
Guilin
Print_ISBN
978-1-4244-2722-2
Electronic_ISBN
978-1-4244-2723-9
Type
conf
DOI
10.1109/CCDC.2009.5192879
Filename
5192879
Link To Document