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            ! 3#        MNO, >: ?@ Kmeans-EMD) IWOA-Elman APQRFÙS&TU)iV                                  1 1
            [13]‰¾k, hãŽ, ÖKB, •. 71 EEMDWXY+È                    <ÕÏØ«>7¾ [J]. ±7ª¡[,2018,38
                 ÏØ-…ÐqÈ*ÎQ[J]. Y2ªÙ6ø,2017,48                     (S1):83-86+111.
                 (9):257-263.                                  [24]HUANGNE,SHENZheng,LONGSR,etal.Theem
            [14]HARADAR,SHIGETAY.Selectionrulesforoutliersin       piricalmodedecompositionandtheHilbertspectrum for
                 outlierfloodingmethodregulateitsconformationalsam  nonlinearandnonstationarytimeseriesanalysis [J].Pro
                 plingefficiency [J].JournalofChemicalInformationand  ceedingsMathematicalPhysical&EngineeringSciences ,
                 Modeling ,2019,59(9):3919-3926.                   1998,454(1971):903-995.
            [15]_ ž, Ë ¯, h&ã, •. 71Ñ)Fzª®ZZW                 [25]MIRJALILIS,LEWISA.Thewhaleoptimizationalgo
                 NezïÈde‚k*@ë[J]. Y2lm6ø,2018,                     rithm[J].AdvancesinEngineeringSoftware,2016,95
                 34(2):74-82.                                      (5):51-67.
            [16]BELDERRARA,HAZZABA.Hierarchicalgeneticalgo    [26]› c, Líä, ž‚¢, •. %›kádÆ×‡Eå
                 rithmandfuzzyradialbasisfunctionnetworksforfactors  ˜ëWÆ×7¾[J]. €lm]e*?˜,2017,37
                 influencinghospitallengthofstayoutliers [J].Healthcare  (11):2983-2994.
                 informaticsresearch ,2017,23(3):226-232.      [27]bc8, –:¡. 71å˜ëW7¾6qÿ¤Y•n
            [17]v ¢, vk$. 71Æ×¾ëû6Áªf¶Y­|                         Cž‡E(^[J]. ±7ª¡[*EÞ,2020,37(10):
                 ¬âøïÈ[J]. ˆ]6ø,2016,65(13):39-48.                 91-98+124.
            [18]GUOWei,XUTao,TANGKeming.Mestimatorbased      [28]À7ƒ, F (, „-, •. 71å˜ëWÆ×7¾f¶
                 onlinesequentialextremelearningmachineforpredicting  ž(q"(^[J]. ·0°;8,2020,30(3):298-304.
                 chaotictimeserieswithoutliers[J].NeuralComputing  [29]µ, F L. 71å˜éWw¡›L†7¾¶Ù
                 andApplications,2017,28(12):4093-4110.            Æ×q"[J]. K“Z#,2018,40(4):128-131.
            [19]YANGHaimin,PANZhisong,TAOQing.Robustanda      [30]TANYILDIZIE,DEMIRG.Goldensinealgorithm:Ano
                 daptiveonlinetimeseriespredictionwithlongshortterm  velmathinspiredalgorithm[J].AdvancesinElectrical
                 memory [J]. ComputationalIntelligence and Neuro  andComputerEngineering ,2017,17(2):71-78.
                 science,2017,2017:9478952.                    [31]´?R2·¿9½¦, ”ßG, Àc¡, •. 6ØPCA-
            [20]v,/, F &, «C. 71 Adaboost å˜ Elman b             GA-Elman fª:;go¾ô"ïÈ[J]. ªÙ/
                 ÑÏì°Ý)*zïȉ¾[J]. &;k66ø                         6*0°,2020,39(11):1671-1675.
                 ( 45/6Ì),2021,40(5):1-5.                      [32]~L›, D $, «<¡. 71 IPSO-Elman =¶DNÿ
            [21]DOUChunxia,QIHang,LUOWei,etal.Elmanneural          #ÛïÈ[J]. ¿'¶L0°,2020,43(12):100-105.
                 networkbasedshorttermphotovoltaicpowerforecastingu  [33]Ä5>. Ž2ªæŽä"v27Ž?w›(^[J]. 8
                 singassociationrulesandkernelprincipalcomponenta  2;/0( ¡[0°Ì),2019,15(2):28-29.
                 nalysis[J].JournalofRenewableandSustainableEner  [34]?`Ï, ¦@‚, A†]. ºßªÞ™ÏØïÉ]7¾
                 gy,2018,10(4):043501.                             (^[J]. ß ªÙ,2020,41(10):41-43.
            [22]hÙÙ, F0¡, h‚¨, •. 71嘆> K-                   [35]STOJANOVICM,BOZICM,STANKOVICM,etal.A
                 means Æ×7¾12¶34™s-…'qÈ[J]. /                     methodologyfortrainingsetinstanceselectionusingmutu
                 60°*lm,2018,18(34):208-214.                       alinformationintimeseriesprediction [J].Neurocomput
            [23]véË, 5ÁÁ, ~ ª. 71¡Ã“bÑÏìv‚.}                       ing ,2014,141:236-245.
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