欢迎来到天天文库
浏览记录
ID:36458107
大小:2.32 MB
页数:71页
时间:2019-05-10
《基于案例推理的城市应急决策支持系统的研究》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、浙江工业大学硕士学位论文基于案例推理的城市应急决策支持系统的研究姓名:石浩申请学位级别:硕士专业:计算机应用技术指导教师:李未;蔡家楣20041201一塑坚三些查兰堕主翌窒竺兰篁望婆——ResearchOilDSSofCityEmergencySystemBasedonCRBABSTRACTCase-basedI℃asoning(CBRlisarecentandimportamapproachtoproblemsolvingandlearningforknowledge—basedsystemsinAI.Ithasgotalotofattention111internationalAIdoma
2、inbecauseofitsparticularreasoningstyleandItsSUCCESSfulapplicationoverthe1astfeWyearsCase-basedreasoningmeanstouseprevtousexperienceintorillofcasestounderstandandsolveFlewproblemsAcase-basedDeasonedrememberstorrRercasessimilartothecurrentproblemandattemptstomodifytheirsolutionstofitfortheCUffent0;搿CD
3、SS(DecisionSupportSystemDSS)isdevelopedonintegrationpart,datapartandmodelpart.AndthenDSShasmtroducedtheknowledgesystem,thusincludethecompositionofartiflcialjntelligenceDuetoimportantapplicationinDSS,CBRhasstudied,whichincludeCBRcycle,theprincipleofcase,problemdescription,storedsolution,adaptationand
4、adjustmentofthecase.Secondly,t11∞researchhasedoncityemergencysystemisdeveloped.Analyzingtheresearchbackgroundofthecityemergencysystemandinvestigatingtheemergencysystemproductionbothinathomeandonabmad,IdevelopanewarchitectsystemThen,幽epaperintroducesthesystematicnetworkffameworkand髓chfunctionmoduleof
5、DSS.Then,theCBRtheoryhasbeenleadingthecityemergencysystemintrial,whichmakethecase:schemeproducedautomatically.Firstly,theresearchesoncasedatabaseatepresentedanddescribethecontentofthecaseSecondly,thecomputationofsimilaritymeasureisstudiedDuringresearchonmanydistancefunctions,Iadopttwowaystocomputeth
6、esimilarityofthecasewhichincludeHeterogeneousEuclideanOverlapMetricandproportionwayLastly,atestaboutthetwoforenamedsimi]ari妙measuremethodsisgivenjnthispaper.Thetestshowsthatthesimilaritymeasuremethodbased01"1HEOMisthehigheramongtwosimilaritymeasuremethodsaboutaverageaccuracyKEYWORDS:CBR;DSS;cityemer
7、gencysystem;[DSSⅡ浙江工业大学学位论文原创性声明y74955a本人郑重声明:所提交的学位论文是本人在导师的指导下,独立进行研究工作所取得的研究成果。除文中已经加以标注引用的内容外,本论文不包含其他个人或集体已经发表或撰写过的研究成果,,也不含为获得浙江工业大学或其它教育机构的学位证书而使用过的材料。对本文的研究作出重要贡献的个人和集体,均已在文中以明确方式标明。本人承担本声明的法律
此文档下载收益归作者所有