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简介:AnewmethodforrecognizingChinesecharactersisproposed.Itisbasedontheso-calledfeaturepointsofChinesecharacters.Thefeaturepointsweuseincludethoseonthestrokeofacharacter.i.e.,endpoints.turningpoints,forkpointsandcrosspoints.andthekeypointsonthebackgroundofcharacter.ThismethoddiffersfromthepreviousonesforitcombinesthefeaturepointsonstrokewiththoseonbackgroundanditusesfeaturepointstorecognizeChinesecharactersdirectly.AChinesecharacterrecognitionsystembasedtotop-downdynamicalmatchingoffeaturepointisdeveloped.Thesystemcanrecognizenotonly6763printedsampleSongfontChinesecharactersofsize5.6×5.6mm^2withhighrecognitionrate,butalsothegeneralprintedbooks,magazinesanddocumentswithasatisfactoryrecognitionrateandspeed.
简介:-Accordingtobasicequationsoffluidmechanics,thispaperpresentsaunifiedvariationalprincipleoffluidmechanics(UVPFM)byusingtheoptimizationmethodofweightedresiduals(OMWR).Theadvantagesareasfollows,theestablishmentofthefunctionalandthevariationalprincipleiseasy,itcanchangevariousproblemsoffluidmechanicsderivedbybasicequationsintoaunifiedoptimizationproblem,andthesolutionistheoptimumoneinsomesense.AccordingtotheOMWRforthesolitarysubdomain,thispaperusesUVPFMontoanysolitarysubdomainandgivesthesolutionofthehydrodynamicsequationwhichissuitableonlyforthatsolitarysubdomain.AccordingtotheOMWRforsolitarypoint,thispaperusesUVPFMtoanysolitarypointandgivesthesolutionofthehydrodynamicsequation(pointsolution)whichissuitableonlyforthatsolitarypoint.Asthesolutionforthesolitarysubdomainorsolitarypointisdevelopedindependently,thecompatibilitywithothersubdomainorotherpoints,do
简介:Artificialintelligencetechniqueshavebeenusedtopredictbasicoxygenfurnace(BOF)end-points.However,themainchallengeistoeffectivelyreducetheinputnodesastoomanyinputnodesinneuralnetworkincreasecomplexity,decreaseaccuracyandslowdownthetrainingspeedofthenetwork.Simplypicking-upvariablesasinputusuallyinfluencevalidityofmodel.Itisquitenecessarytodevelopaneffectivemethodtoreducethenumberofinputnodeswherebytosimplifythenetworkandimprovemodelperformance.Inthisstudy,avariable-filtratingtechniquecombiningbothmetallurgicalmechanismmodelandpartialleast-squares(PLS)regressionmethodhasbeenproposedbytakingtheadvantagesofbothofthem,i.e.qualitiveandquantativerelationshipsbetweenvariablesrespectively.Accordingly,afuzzy-reasoningneuralnetwork(FNN)predictionmodelforbasicoxygenfurnace(BOF)end-pointcarboncontentbasedonthistechniquehasbeendeveloped.Thepredictionresultsshowedthatthismodelcaneffectivelyimprovethehitrateofend-pointcarboncontentandincreasenetworktrainingspeed.Thesuccessfulhitrateofthemodelcanreachupto94.12%withabout0.02%errorrange.
简介:Anewmethodforpoint-polygonclassificationispresentedinthepaper.Thebasicideaofthemethodisfirstadvancedandthentwopropertiesofpolygonareintroduced.Thecriterionsforpoint-polygonclassificationaregivenexplicitly.Theanalysisshowsthatthepossessesperfectfunction,extensivesuitabilityandhighefficiency.
简介:Justasthehumancivilizationhasenteredintoanewcentury,sohastheRus-sianFederationarrivedatacriticalturningpoint.TheStateDumaelectionjustconcludedandPresidentBorisYeltsin’sresignationaheadofschedulehaveheraldeddawningofastabilisingRussianpoliticalscene.AsRussiaisstillabigpower,es-peciallyaheavyweightmilitarypower,anynewdevelopmentsinthecountrywouldhaveprofoundimpactupontheinternationalcommunity.Therefore,inwhatdirec-tionRussiawilldevelopinthenewcenturyisaquestionnotonlybeingwatchedcloselybyitsownpeople,butalsobeingfollowedwithgreatinterestbythewholeworld.
简介:ThispaperisdevotedtoclarifyingtherelationshipbetweentheclassicalMorsetheoryandtheMountainPassLemmaviathelocallinkingconcept.ItisshownthatforaC~1-functionfwithalocallinking,them-thcriticalgroupisnontrivial,wheremistheMorseindex.Combinedwiththebehavioroffatinfinity,thisresultcanbeusedtooffertheexistenceofnontrivialcriticalpoints.
简介:Theissuesofwarandpeacecapturedinternationalattentionin2014.ItwasthecentennialofWorldWarI,andthefocuswasontensionsinAsiaforthefirsthalfoftheyear.OneradicalWesternviewwentsofarastocomparetoday'sChinatopre-warGermanyinthemidstofrapideconomicgrowth,risingnationalismandabeefedupmilitary.ThehypeaboutBeijing'sallegedregionalexpansionpeakedattheShangri-LaSecurityForum(Singapore)inMay2014.However,eventsonthegroundprovedsuchglibaccusationswrong.InOctober2014,thisauthoraccompaniedseveralotherChinesescholarsinavisittosevenU.S.thinktanks.OurAmericanhostswerenotworried
简介:在分数维的点模式在点过程当模特儿和参数评价的统计方法当模特儿之间的关系被考察。由使用RipleysK功能的簇分数维图形尺寸的统计评价与更通常使用的方法比较有优点数盒子并且因为它为边效果,不是仅仅为矩形的学习区域而且为学习区域改正,弄弯的边界由地区性的地质学决定了,聚类分数维的尺寸评价。申请对点模式的分数维的尺寸有的估计数盒子一般来说,它服从于相对强壮的滚边的劣势为更小的框完成。例如在这份报纸使用的点模式主要为在加拿大的盾上的Abitibi暴烈的带的金存款。另外,这被建议,全球podiformCr的本地点模式,巨大的硫醚和斑岩铜扔的volcanogenic,它不规则地空间地分布式在以内塑造了有利的道,与类似的分数维的尺寸满足分数维的聚类模型。存款尺寸(金属吨位)的问题也被考虑。几个例子Pareto分发在金属尺寸频率分发建模为最大的存款在提供好结果的盒子被提供。