Title :
Research of Time Series Finding Algorithm Based on Artificial Neural Network
Author_Institution :
Inst. for Higher Educ., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
fDate :
March 31 2009-April 2 2009
Abstract :
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.
Keywords :
approximation theory; curve fitting; neural nets; pattern classification; piecewise linear techniques; time series; artificial neural network; classification accuracy; correspondent arctg; hierarchical processing technology; piecewise linear approximation; time series finding algorithm; time-series curve; Artificial neural networks; Classification algorithms; Computer science; Data engineering; Data mining; Databases; Educational technology; Management information systems; Neural networks; Pattern matching; Artificial Neural Network (ANN); Hierarchical processing; Key word data mining; classification accuracy; time-series patterns;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.1017
