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              [32]                                                ¡Ôp€[J]. Zb0n,2007,38(11):13411346.
            :    °íêþÃ^Pt#{®è}¡。¢ÚnÍ
                                                               [7]Ф5, … ›, qØy, :. %ƒ GAMLSS-GLO\ðp
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                                                                  ±²¹{è,<½Jbñiº[J]. Z]^cZCD
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            ', S0#•Ý{ðñ{«。
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                 q[VWG‚è,<ñ&œZ¦{Ï@ÂÑÆ                          [9]CHENG Lin,ZHENG Dongjian.Twoonlinedam safety
            ÇAB, ñ¦pnCDÇ4, è,<{89Ç<                              monitoringmodelsbasedontheprocessofextractingenvi
            cßZ¦、 ʞÖ\Ï{:hkˆs。¦P¢                                ronmentaleffect[J].AdvancesinEngineeringSoftware,
            AB4, î/’shkÆ}ɵ¶è,<{½                                2013,57:4856.
            Jѝ, ÖßàŽÁhkQš‚ñ&œZ¦%                            [10]ö4, Áºá, xØX. 7¬è<úIðñiº{
            ú¼{5Ҕ•p´。                                             PCA-WOA-LSSVMJ/Yi€[J]. ZqÈ^#
                                                                   0,2022,40(9):111114.
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                                                                   <½Jðñ[J]. ZqÈ^#0,2020,38(9):7578.
                 (1) q[XY{ BiTCN-Attention-LSSVMi
                                                               [12]A ƒ, ÄÜU, •.(, :. %ƒ CNN-BiLSTM{Âé
            ºÈ¯^µ8ñ BiTCNœÔ–+žÏ@ÿ„{Â
                                                                   ;<úIðñiº[J]. ?™pQCD0n,2024,42
            Ñ, X頻XLœdôÎ{úû。®/ Attention,
                                                                   (10):10311035+1043.
            BiTCNÈ%R)ƒíê4¢sî\?W{ú                            [13]BAIShaojie,KOLTERJZ,KOLTUNV.Anempiricale
            û, ˆ{–+è,<{ñ&œZ¦Ï@Â7。c                                 valuationofgenericconvolutionalandrecurrentnetworks
            LSSVM、CNN-LSSVMž TCN-LSSVMiº’6,                        forsequencemodeling[J].ArXiv,2018:01271.DOI:
            BiTCN-Attention-LSSVMiº¦Ï@íêÿ„€                        10.48550/arXiv.1803.01271.
            rS0#×Â{»[, +t¯[Ý{ðñ{«, ‡ˆ                          [14]ZHANGYulin,SHANGKe,CUIZhiwei,etal.Research
            }·{pn‰Š。                                               ontrafficflowpredictionatintersectionsbasedonDT-
                                                                   TCN-Attention [J].Sensors,2023,23(15):6683.
                 (2) ¦l¡iºqí\íêþµ‹ú{%&
                                                               [15]EHTERAM M,AFSHARINIA M,PANAHIF,etal.
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                                                                   tionalnetwork(TCN)-random forestmodel:anad
            ðñÈ'。                                                  vancedmachinelearningmodelforpredictingmonthly
                                                                   rainfallandfilteringirrelevantdata [J].Environmental
            opFG:                                                  SciencesEurope ,2024,36(1):13.
            [1]…?I, A ƒ, ÄÜU, :. %ƒ PSO-BP iº{è,<              [16]KHARAKHASHYANA,MALTSEVAO.Comparisonof
                ½JðñAB [J]. ZqÈ^#0,2023,41(12):90                 theforecastaccuracyoftotalelectroncontentforbidirec
                92+89.                                             tionalandtemporalconvolutionalneuralnetworksinEuro
            [2]Áºá,  Jè. è,¼<½K½YÊñiϞ€A                          peanRegion [J].RemoteSensing,2023,15(12):
                BÆ9[J]. ZbZq#$Æ9,2022,42(1):110+39.               3069.
            [3]„!O, _öS, xL–, :. è,<½Jcñ]=µ¶                   [17]ZHANGDongdong,CHENBaian,ZHUHongyu,etal.
                iº\€[J]. Zb0n,2003,34(2):8387.                   Shortterm windpowerpredictionbasedontwolayerde
            [4]u(, M g, hµd, :. %ƒJKNÌî{è,<½                      compositionandBiTCN-BiLSTM-Attentionmodel [J].
                J89b¾iº[J]. ŽÍa00n( C0t),2019,52                   Energy ,2023,285:128762.
                (11):962967.                                  [18]CAISaihua,XUHan,LIUMingjie,etal.Amalicious
            [5]LIXing,WENZhiping,SUHuaizhi.Anapproachusing         networktrafficdetectionmodelbasedonbidirectionaltem
                randomforestintelligentalgorithmtoconstructamonitoring  poralconvolutionalnetworkwithmultiheadselfattention
                modelfordam safety [J].EngineeringwithComputers,   mechanism[J]. Computers& Security,2024,136:
                2021,37(1):3956.                                  103580.
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