文档介绍:&{EMD-LSSVMT>?.@***@URUAalC.******@1#puY1#RYz2#{|}1#~T1(RB&YC7f>P#R!f"Q8e#$2=#f"300308)1 234%&'(.2y-M9N+8^N7sRb:#F7)A~*yUV+,X(*-3emnlR;R<~kpc(EMD)^(LSSVM)R`/,0>x~ <=534%&'()A|RCHeST#bHR<~kpcY'(.2y-pc~`9/1~dpQ#5AHM9A:)AT#yU4BOdnKk5)A 1ekT#YB<H;34%&RCi'()A|#tu 1234B<>6UV)A34%&'()#8nlzF7~***@OR)Ah1#>6~34%&R'(78\9:);^=}s<eZsTqe345R<~=>?<G|"***@AG34%&'()A6789:TP391;<=>?A;***@A:1007-2276(2013)07-1737-06MultiscalemodelingmethodbasedonEMD-LSSVManditsapplicationHeXing1,WangHongli1,LiuYongzhi2,LuJinghui1,JiangWei1(,TheSecondArtilleryEngineeringUniversity,Xi!an710025,China;,TheSecondArtillery,Tianjin300308,China)Abstract:Duetothenonlinearandnonstationarycharacteristicsoflasergyrodrifttimeseries,(EMD)andleastsquaressupportvectormachines(LSSVM)wasproposed,,,,,