By Topic

Wavelet-based evolving neural network forecasting algorithm and its application

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Ying Li ; School of Business, East China University of Science and Technology, Shanghai, China ; Mengqing Sui

It's a focus for researchers to forecast the nonlinear data got from the reality world system. Many methods based on nonlinear models are proposed. In this paper, a forecast model based on the wavelet analysis and the neural network is proposed. Firstly, the wavelet decomposing and reconstruction should be made on the time series studied, and then neural network forecast method is applied on all the time series got from the analysis, the final forecast result is the sum. The daily data of a river is nonlinear data, and the effectiveness of the model is verified by applying the method to the daily data of a river.

Published in:

2010 International Conference on Computer Application and System Modeling (ICCASM 2010)  (Volume:2 )

Date of Conference:

22-24 Oct. 2010