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1、華中科技大學(xué)碩士學(xué)位論文高中教學(xué)質(zhì)量智能綜合評價(jià)決策支持系統(tǒng)研制姓名：湯沁申請學(xué)位級別：碩士專業(yè)：控制工程指導(dǎo)教師：沈安文20051101華中科技大學(xué)碩士學(xué)位論文ABSTRACTAneffectiveanddetailedappraisalofteachiⅡgqualityisaIlimportantmemodtoimprovemeteachinglevelofseniorhighschool，whichistheiInpoftantfollIIdadonfordecisionmal(ingoftheschooldevelopment
2、．nisimponalltindirecting，feedingbackaIldregulatingfortheoptimizationofmewholeteachingsystem．Whemermeteachingqualitycallbeappraisedscientifically，faifly，reasonablyandeffectivelyhasbecomeoneofnlesynthesesscalestoinSpecttheteachingmallag鋤entlevelandteachingleVel．Thepurpose
3、ofstudvistodiscussaneffectivemethodofcombinemecharacteristicsoftheteachingandthespecialrequifeoftheschooldevel叩mentSandtobuildintelligencedecisioⅡsupportsystemofteachingqualitycomprehensiveevaluationoftheseniorhighsdh001．Theevaluationta唱etofsystemisthedevelopmentincompa
4、Ily、)l，ithsch001，teachersandstudents．Thethesisdescribesthewholerealizadonprocessinduding廿ledatagather，thedatapreparation，medatastatistics，thecomprehensiveevaluationandanalysis．Thesystemh鵲obtainedmanysa廿sfiedresllltsinpracticaluse．Theteachingqualitymanagementoftheseniorh
5、ighschoolismorecomplicatedsystemengineering．ThekeyofsystemdesignisⅡlebuildingofindexsyStemwhichcanaccuratelyrenedthecircumstanceofteachingqualityofseniorhighsch001．TheintelligencecomprehensiveeValuationdecisionsupportsystem(IcEDss)canbeusedintheteachingqualitywhichiscom
6、plicatedsystem．ICEDSSiscombinedwimmecomprehensiveevaluationmethodandtheartificialintelligencetechnique。111erecanrealizeoverallevaluationoftheteachingqualityoftheseniorhi曲schoolalldproVidedecisioninformationabouttheteachingqualitybyusingthemethod．Themoreimportancef咖ction
7、isthatteachingqualityeValuationdatabecomethekeyoftllesciencemanagementofthesch001．TherearemorechallengesinbuildingforecastmodelandimproVingforecastprecisionformanycomplicatedfactorsinfluencethetcachingqualityeValuationsystem．T1letraditionalforecastmemodcantsatisfythedev
8、elopmentalrequirementofteachingquality-ThethesisintroducesmetheoryaIldmethodofforecastbasedonartifidalneuralne
