J4 ›› 2010, Vol. 45 ›› Issue (7): 50-54.

• Articles • Previous Articles     Next Articles

A prediction algorithm for multi-data streams  based on GEP

DING Chao1, 2, YUAN Chang-an1, 3, QIN Xiao1, 3   

  1. 1. Computer and Information Engineering College, Guangxi Teachers Education University, Nanning 530023, Guangxi, China;
     2. The First Middle School of Mengcheng, Mengcheng 233500, Anhui, China; 3. The Key Lab of
     Scientific Computing & Intelligent Information Processing in Universities of Guangxi,Nanning 530001, Guangxi, China
  • Received:2010-04-02 Online:2010-07-16 Published:2010-09-06

Abstract:

A prediction algorithm for multi-data stream based on gene expression programming(GEP) was proposed for compensating the shortage that the traditional linear regression method could only adapt to a simple prediction model and predict AVG in the future window. A method by using sliding windows to partition data stream was given in the multi-data stream. The main conception of Multi-Streams was defined, and the map relation in it was revealed. An algorithm was given to pretreatment multi-data stream according the map relation and the sliding windows above. An adaptive forecasting model was put forward based on DSMA-GEP in the multi-data stream. The experience with the real data showed that the method was efficient.

Key words: prediction model; gene expression programming; multi-data stream

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