Application of AC Algorithm Based on RS in Stock Index Prediction

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Author(s)

Xiaoguang Wang 1,* Fuxian Liu 1 Hui Liu 1 Fei Ma 1

1. Missile Institute, Air Force Engineering University, Sanyuan ,China

* Corresponding author.

DOI: https://doi.org/10.5815/ijem.2012.02.04

Received: 9 Dec. 2011 / Revised: 26 Jan. 2012 / Accepted: 1 Mar. 2012 / Published: 6 Apr. 2012

Index Terms

Analog Complexing Algorithm, Pattern Similarity, Rough Set

Abstract

The AC Algorithm may easily get a lower pattern similarity when performing the AC under the situation of encountering multi-dimensional data, so this will affect the selection of similar patterns. Combining the Rough Set theory, the author makes the data dimension reduction processing. The experiment shows that the AC algorithm based on RS is practical and its performance efficiency and prediction accuracy are much higher than the AC algorithm.

Cite This Paper

Xiaoguang Wang, Fuxian Liu, Hui Liu, Fei Ma,"Application of AC Algorithm Based on RS in Stock Index Prediction", IJEM, vol.2, no.2, pp.23-28, 2012. DOI: 10.5815/ijem.2012.02.04

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