This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2009 WRI World Congress on Computer Science and Information Engineering
Research of Time Series Finding Algorithm Based on Artificial Neural Network
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
In this paper, a new method for time-series pattern finding is proposed. The time-series curve is modeled as sequence of straight lines by piecewise linear approximation and the correspondent Arctg (slopes) of the lines are obtained as samples. Classification accuracy of time-series pattern finding algorithm is improved by using Artificial Neural Network (ANN) and Hierarchical processing technology. After we analyze experiment result with way of comparing, it prove that classification accuracy of the new time-series pattern finding algorithm is improved.
Index Terms:
Key word data mining, time-series patterns, Artificial Neural Network (ANN), Hierarchical processing, classification accuracy
Citation:
Zhang Yu, "Research of Time Series Finding Algorithm Based on Artificial Neural Network," csie, vol. 4, pp.400-403, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
Usage of this product signifies your acceptance of the Terms of Use.