Wavelet neural network predication for epidemic outbreak

Authors:
Xiao-Yi Li;Zhao-Di Xu;Zhen-Peng Li
Affiliations:
School of Mathematics and Systems Science, Shenyang Normal University, Shenyang, China;School of Mathematics and Systems Science, Shenyang Normal University, Shenyang, China;School of Mathematics and Systems Science, Shenyang Normal University, Shenyang, China
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Year:
2009

Citing 3
Cited 0

New multivariate product density estimators

Journal of Multivariate Analysis
Using wavelet network in nonparametric estimation

IEEE Transactions on Neural Networks
Accuracy analysis for wavelet approximations

IEEE Transactions on Neural Networks

Quantified Score

Hi-index	0.00

Visualization

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.