expgdc•introduction•CurrentStatusandDevelopmentTrendsofExpgdc•Expgdctechnologyprinciplesandworkflow•Applicationcasesofexpgdcinvariousfieldscontents目录•ChallengesandOpportunitiesFacingExpgdc•Futuredevelopmenttrendsandsuggestionsforexpgdccontents目录01introductionPurposeandbackgroundExplaintheimportanceandnecessityoftheexpgdcproject,aswellasthebackgroundandcurrentsituationoftheproject.Clearlydefinethegoalsandvisionoftheexpgdcproject,aswellastheexpectedoutcomesandimpactsoftheproject.Introducethescopeofthecontentcoveredinthisreport,includingtheoverallsituationoftheproject,mainprogress,existingproblems,andnextsteps.Explainthefocusandfocusofthisreport,aswellastheareasthatrequireaudienceattentionandattention.Reportingscope02CurrentStatusandDevelopmentTrendsofExpgdcexpgdcreferstoamaterialordevicewithspecialfunctionsthatcanundergodeformationormechanicalmotionunderexternalstimuli.DefinitionAccordingtothedifferentstimulussources,expgdccanbedividedintovarioustypessuchasphotoinduceddeformation,electroinduceddeformation,magneticinduceddeformation,thermalinduceddeformation,etc.ClassificationDefinitionandclassificationofexpgdcMarketsizeWiththerapiddevelopmentofintelligenttechnology,roboticsandotherfields,theexpgdcmarketsizeisconstantlyexpanding,anditisexpectedtocontinuetomaintainhigh-speedgrowthinthecomingyears.GrowthtrendWiththecontinuousinnovationandprogressoftechnology,theperformanceofexpgdcwillcontinuetoimprove,theapplicationfieldswillalsocontinuetoexpand,andthemarketsizeisexpectedtoachieveexplosivegrowth.ExpgdcmarketsizeandgrowthtrendCurrentApplicationStatusofExpgdcIndustry•Inthefieldofrobotics,expgdccanbeusedasajoint,muscleandothermovingcomponentofrobots,improvingtheirmotionabilityandflexibility.•Inthefieldofintelligenttechnology,expgdccanbeusedforthemanufacturingofsmartsensors,actuators,andotherdevicestoachieveintelligentcontrolandoperation.•Inthefieldofmedicaldevices,expgdccanbeusedtomanufacturemovingpartsanddrivingdevicesofmedicaldevices,improvingtheaccuracyandreliabilityofmedicaldevices.•Otherfields:Expgdccanalsobeappliedinaerospace,automotive,electronicsandotherfieldstoachievevariouscomplexmovementsandoperations.03ExpgdctechnologyprinciplesandworkflowBasedondeeplearningmodelsexpgdcusesdeeplearningtechniquestotrainalargeamountofdatatolearnimagefeaturerepresentationsandclassifiers,achievingefficientrecognitionandclassificationofimages.FeatureextractionandfusionExpgdcutilizesconvolutionalneuralnetworks(CNNs)toextractmulti-levelfeaturesofimagesandfusethesefeaturestoobtainricherimagerepresentations.TransferlearningExpgdcadoptsatransferlearningstrategytotransferpretrainedmodelsonlarge-scaledatasetstothetargettask,therebyacceleratingmodeltrainingconvergenceandimprovingperformance.ExpgdcTechnicalPrinciples0102DatapreprocessingPreprocessingtheinputimage,includingresizing,normalization,andotheroperationstomeettheinputrequirementsofthemodel.FeatureextractionUsingpretrainedCNNmodelstoextractfeaturesfromimagesandobtainmulti-levelfeaturerepresentationsoftheimages.FeaturefusionTheextractedfeaturesarefusedtoobtainamorecomprehensiverepresentationofimagefeatures.ClassifiertrainingBasedonthefusedfeatures,trainaclassifiertoachieveimageclassificationandrecognition.Modelevalu…Evaluatethetrainedmodel,optimizeandadjustthemodelbasedontheevaluationresults,andimprovetheperformanceofthemode...
