In order to solve the problem that Gene Expression Programming (GEP) has not still turn up trumps to the mining rapidity and precision of RFID and Economy Statistical Time Sequence Data in symbol regression and class domain, the definition of Statistical-Gene, Statistical-Chromosome, Statistical fitness and the integration amelioration to traditional GEP time Sequence model were proposed. The novel mining algorithm of single-variable and multi-variable time sequence mining algorithm were given to heighten the mining rapidity and precision of GEP economy time sequence model. The effectiveness of new algorithm was demonstrated by extensive experiments and the result showed that the mining rapidity of multi-variable time sequence mining algorithm was rapidness and the forecast precision was heighten up 5% compared with traditional GEP and single variable GEP time sequence mining algorithm. New algorithm was appropriate for RFID and other economy system as well.
