A Method of Optimizing Parameter of Exponent Smoothing Prediction and Implementation
Dongxing Wang, Fudan Datamining · Microcomputer Development · 2005
The time series prediction methods have extensive application future in many kinds of computations based on the tense databases.In this paper, the single exponent smoothing, the double exponent smoothing, and triple exponent smoothing are introduced. Different prediction methods are adapted to data with different special properties. And how to use the algorithm IGS to optimize the parameters of the exponent smoothing, through which better smoothing results and prediction results are obtained, is described.And it can bring into play better effect in social practice.