Page 180 - 《水资源与水工程学报》2024年第6期
P. 180

1 6                      & ' ( ) & * + , -                 2024 $
              7
            LightGBMu},’“–ß.#$P>Š‹Pâ                             maticalModelling ,2018,55:109130.
                                                       2       [8]SONGFei,WANGHuaning,JIANGMingjing.Analytical
            8š›, 際ì8€~Œ0¯ÇQçs R ‡
                                                       A
            0.9097, \§Â¾ëL; 8€~â8½¾ð1                           lybasedsimplifiedformulasforcirculartunnelswithtwo
                                                                  linersinviscoelasticrockunderanisotropicinitialstresses
            2·Ô©µ MAPE‡ 4.12%, ©µëÖ。Ô 3
                                                                  [J].ConstructionandBuildingMaterials,2018,175:
            šÕy,&-u},LightGBMš›ÕÏ¿$a
                                                                  746767.
                                   2
            ëďâ8PQR, ¤ R Ñ}Íפ3u}, Ë$
                                  A
                                                               [9]SHAOWei,YUEWenhan,ZHANGYe,etal.Theappli
            aÀ-Žy。
                                                                  cationofmachinelearningtechniquesingeotechnicalengi
                 ( 2) P>Š‹Pâ8£Ðw#5׊‹Æ'G
                                                                  neering :a review and comparison[J]. Mathematics,
            È。Ùڊ‹Æ'‚ƒ¨:,SHAP£ž®ë‡                               2023,11(18):3976.
            À-。Û~çsb Kelvin gКߏ SHAP £(                     [10]KALULER,ABDERRAHMANEHA,ALAMERIW,et
            ëÖ, |ÀP>Š‹Pâ8£¤#5RÕÄ。                                 al.Stackedensemblemachinelearningforporosityand
                 ( 3) ìGÈ#5±·«., Š‹Æ'Alu                          absolutepermeabilitypredictionofcarbonaterockplugs
            €GÈE—jGÈ。/꫏gКß( Áf                                [J].ScientificReports,2023,13(1):9855.
            Hook gКßb Kelvin gКß) Í×GQš£                     [11]LYHB,NGUYENTA,PHAM BT.Estimationofsoil
                                                                   cohesionusingmachinelearningmethod :arandomforest
            Æ, Š‹Æ'¨:lŠ‹Pâ8£<$¯­“7
                                                                   approach [J].Advancesin CivilEngineering,2021,
            ç,  Hook gКߏ¯­“ÁÝû,Kelvin gÐ
                                                                   2021(1):8873993.
            šß¯­“ÁÈi。×ëfŠ‹Æ'nT,
                                                               [12]TIE Jiahao,MENG Wenzhao,WEIMingdong,etal.
            Š‹Æ'¨?Á^Q¤Š‹P¯­“Ýû,
                                                                    Loadingrateandmineralogicalcontrolsontensilestrength
            G¸A/Û~çsëÄÆ。
                                                                    ofrocks:amachinelearningview[J].RockMechanics
            ¨©MN:                                                   andRockEngineering ,2023,56(8):61196125.
            [1]TANLihai,RENTing,DOULinming,etal.Analytical     [13]FUXiaodi,ZHANGBo,WANGLinjun,etal.Stability
                stresssolutionandnumericalmechanicalbehaviorofrock  predictionforsoil-rockmixtureslopesbasedonanovel
                masscontaininganopeningunderdifferentconfiningstress  ensemblelearningmodel [J].FrontiersinEarthScience,
                conditions [J].Mathematics,2021,9(19):2462.        2023,10:1102802.
            [2]SUNGuang,LIUHan,GUOZhiyuan,etal.Adisplace      [14]YANGYukun,ZHOUWei,JISKANIIM,etal.Slope
                mentbasedtheoryforpredictingthesupportforceonthe  stabilitypredictionmethodbasedonintelligentoptimiza
                shieldtunnelingsurfaceinsandysoillayers [J].Advances  tionandmachinelearningalgorithms [J].Sustainability,
                inCivilEngineering,2021,2021(2):110.DOI:10.       2023,15(2):1169.
                1155/2021/9980837.                             [15]AHMADF,TANGXiaowei,QIUJiangnan,etal.Predic
            [3]XIETingwei,HANKaihang.Twodimensionalnumerical      tionofslopestabilityusingtreeaugmentedNaive-Bayes
                modelforstabilityanalysisoftunnelfacebasedonparticle  classifier : modeling and performance evaluation[J].
                flowcode[J].Symmetry,2021,13(1):94.                MathematicalBiosciences&Engineering,2022,19(5):
            [4]›{9, þ)œ,  –, 4. 'ךžŸ8NßË5 š                      45264546.
                ›¡) IJQ§ùÅßԝos£š\BC[J]. ß                   [16]BUIDT,MOAYEDIH,G?RM,etal.Predictingslope
                ³P&lno&¾,2024,43(S1):32433256.                    stabilityfailurethroughmachinelearningparadigms [J].
            [5]WANG Huaning,ZENG Guangshang,JIANG Mingjing.        ISPRSInternationalJournalofGeoInformation ,2019,8
                Analyticalstressanddisplacementaroundnoncirculartun  (9):395.
                nelsinsemiinfiniteground[J].AppliedMathematical  [17]GUOShuangfeng,WANGBikai,ZHANGPeng,etal.
                Modelling,2018,63:303328.                         Influenceanalysisandrelationshipevolutionbetweencon
            [6]ZENG Guangshang,WANG Huaning,JIANG Mingjing.        structionparametersandgroundsettlementsinducedby
                Analyticalsolutionsofnoncirculartunnelsinviscoelastic  shieldtunnelingundersoil-rockmixedfaceconditions
                semiinfinitegroundsubjectedtosurchargeloadings[J].  [J].TunnellingandUndergroundSpaceTechnology,
                AppliedMathematicalModelling,2022,102:492510.     2023,134:105020.
            [7]SONGFei,WANGHuaning,JIANGMingjing.Analytical    [18]SALIMIA,ROSTAMIJ,MOORMANNC,etal.Introdu
                solutionsforlinedcirculartunnelsinviscoelasticrockcon  cingtreebasedregressionmodelsforpredictionofhard
                sideringvariousinterfaceconditions [J].AppliedMathe  rockTBM performancewithconsiderationofrocktype
   175   176   177   178   179   180   181   182   183   184   185