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A Novel Approach for Time Series Analysis Based RBF Neural Network

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2 Author(s)
Kaiqi Zou ; Coll. of Inf. Eng., Univ. Key Lab. of Inf. Sci. & Eng., Dalian, China ; Renfei Dong

In this paper, we analyzed the highly nonlinear characteristics of the stock market and proposed a novel approach for time series analysis. This method is the use of RBF neural network analysis of time series and analysis of the initial analysis of the error also, and then combined with the analysis of two results to obtain new results. Using this method, we forecasted the trend of shares of China Unicom and achieved satisfactory results.

Published in:

Information Technology and Applications (IFITA), 2010 International Forum on  (Volume:3 )

Date of Conference:

16-18 July 2010

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