Abstract: Along with the development of our country civil aviation,the airport noise is more and more serious.Aimed at the airport-noise time sequence prediction problem,this paper presented the prediction model based on GM-LSSVR,which is based on the ananlyses of noise’s characteristic．Namely,the model decomposes the noise time sequence into tendency and the residual,then establishes the GM(1,1)model of trend and the LSSVR model of residual,which are used for airport-noise prediction model.The application in the measured data of an airport shows that the accuracy of this model is better than other prediction models.

Key words: Time series decomposition,Airport-noise prediction model,GM(1,1),LSSVR,Spearman