Data Stream Prediction Model Based on GEP Method
Na Chen · Jisuanji gongcheng · 2007
Many traditional methods in the field of forecasting, including curve simulation, linear regression, etc, which are applied only to solve simple polynomial functions. Adopting gene expression programming (GEP), this paper proposes a predictive mathematical model for forecasting the aggregatde value over data streams. The algorithm is simple and easy to operate which search functions in the great space. As a result, this forecasting model can be used in many kinds of the data stream. When the frequency of forecast failing is greater than a predefined threshold, an adaptive strategy for the predictive mathematical model is proposed.