基于本體知識(shí)三維實(shí)體幾何特征識(shí)別推理機(jī)的研究.pdf

1、同濟(jì)大學(xué)電子與信息工程學(xué)院博士學(xué)位論文基于本體知識(shí)三維實(shí)體幾何特征識(shí)別推理機(jī)的研究姓名：秦國(guó)鋒申請(qǐng)學(xué)位級(jí)別：博士專業(yè)：計(jì)算機(jī)應(yīng)用技術(shù)指導(dǎo)教師：李啟炎20040601AbstractIntegrationformathematic，geometricandsymbolicmodelsisakeyprobleminintelligentcomputeraideddesign(ICAD)Artificialintelligentneuraln

2、etworkandpatternrecognitionarebeingutilizedatCAD，thesecreatemanynewfieldsfordevelopmentofICADandeffortsomebroadtheorybasisinitsnumbercomputationandsymbolinferenceThisdissertationutilizesthenetworktheorybasedonsyllogismcl

3、oseloopmodelforprediction，dicovercheckandfeedbackconstructsa3Dsolidgeometricfeaturerecognitioninferencemachineonontologyknowledge，solvingtheintegrationproblemformathematic，geometricandsymbolicmodelinICADThismethodhasimpo

4、rtantsignificanceontheoryresearchandgreatvalueonpractice。Aframeworkfortheinferencemachinewastakenforward，whichiSmadeupbyfourkeymechanismsarepre—processorpartternreconitionprocessorpostprocessorandfeedbackprocessorUtilizi

5、ngtheontologyconception，thenumeralandsymbolicknowledgeindictionsincomputerworldareformed，whicharegainedfromexperts’knowledgeinrealityworld，thenaresummarized，refinedandconcludedinlogicworldThepre—processorrecordstheproced

6、uresandcoursesof3Dsolidmodelingdesign，appliesthemetalknowledgefromthedesignexperts’ontologyknowledgeandrulesdatabase，classifiesandpredicatesthebasicfeatureof3DsolidTwoproblemforpreprocessorWasresearched；oneisthedesignont

7、ologyknowledgeindiction，anotheristheirutilizationAintegratedtheorymodelfordesignontologyknowledgeindicationbasedonsemanticnetworkandfranletheorywasputforwardtosolvetheitegrationproblemforthreemodelsAknowledgeinferencestr

8、ategyondesignontologyutilizationwassupported，integratingthesymbolicsystemandartificialneuralnetwork，constructhgaintegratedneuralnetworkonjoineddoctrineAintegrateddeductiveandinferencetheoryonrulesWasresearchedinthepartte

9、rnrecognitionprocessorconcludingconstructingknowledgedatabase，refiningtheinferencerulesandformingtheknowledgeinferencestrategyTheprocessorrecognizesallbasicfearuresof3Dsolid，gainingtheirgeometricdimensionsandconstrainrel

10、ationships，determainingtheirmachiningrulesThepostprocessorchecksthedesignThemachiningknowledgeindicationsarecomprisedbychoicesofmachinetools，fixturesandtheirmethods，toolsandtheirapproachingmethods，machiningmethods。whicha

11、reindicatedbyuntilizingtheontologyknowledgeclustersandmachiningfunctionclustersArevelatorysearchstrategictheorymodelandalgorithminstatusspaceplansthemachiningproceduresof3Dsolidautomativelyandaffortsomefeedbackmechanismt

12、opreprocessandrevisedesignThisdissertationhassolvedtheintegrationproblemforthreeheterogeneousmodels，concludingtheirCADandCAMontologyknowledgeindicationandutilization，andtookforwardainnovativetheoryandmethodforparalleland

13、cooperationinnumeraldesignandmanufacture，whichcanbeusedinengineeringdesingandmanufacture，computergraphicstimulationandSOonKeywords：Ontologyknowledge；Knowledgeindicationandutilization；ICAD；Neurainetwork；Partternmatching；I