简介:Astudyontheagent-basedword-recognitionlearningsystemforpupilswithmoderatementalretardation.AsystemforlearningXQueryqueriesbasedonexampleoperations.AWeb-BasedLanguageLearningSystem.AWWW-basedcooperativelearningsystemanditseffectsonstudents'achievement,Anadaptivereal-timemultimediadistancelearningsystembasedoncomputersupportedcollaborativework.
简介:[篇名]Acomparisonofoptimaliterativelearningcontrolschemes,[篇名]Acompositeenergyfunction-basedlearningcontrolapproachfornonlinearsystemswithtime-varyingparametricuncertainties,[篇名]Adiscrete-timeiterativelearningalgorithmforlineartime-varyingsystems,[篇名]Afeasibilitymethodforsuboptimallearningofequalityconstrainedoptimaltrajectories,[篇名]Ageneticalgorithmbasedoptimisationmethodforiterativelearningcontrolsystems,[篇名]AnewoptimalitybasedadaptiveILC-algorithm,[篇名]ANOVELPREDICTIVEANDITERATIVELEARNINGCONTROLALGORITHM,[篇名]APD-typeopen-closed-loopiterativelearningcontrolanditsconvergencefordiscretesystems,[篇名]ADirectAdaptiveControlDesignforNonlinearDiscrete-timeUncertainSystems,[篇名]Adirectadaptivecontrolstrategyformanagingdiabetesmellitus,[篇名]Adaptivecontrolofaerospacestructureswithpersistentdisturbances,[篇名]Adaptiveneural/fuzzycontrolforinterpolatednonlinearsystems,[篇名]Anadvancedneuralnetworktopologyandlearning,appliedforidentificationandcontrolofaD.C.Motor,[篇名]Designoffuzzylogiccontrollerforthefinetuningofweightingparametersofdirectadaptivecontrol。
简介:摘 要:本文聚焦于基于机器学习的客户关系管理系统(CRM)的设计与应用,该系统通过集成深度学习与高级数据分析技术,实现了对客户行为、偏好及需求的深度洞察。通过自动化数据分析与预测,系统能够精准推送个性化服务与产品推荐,显著提升客户体验与企业运营效率。
简介:在深入了解张家口北部地区金成矿特征的基础上,以地理信息系统(GIS)为平台,对该区进行成矿分析后认为:太古界桑干群谷咀子组(Arg)、红旗营子群(AP3H)和元古界长城系常州沟组一高于庄组(Chc-g)为成矿的有利地层组合;金矿床(点)多出现于岩浆岩体外接触带上;半径为0.75-1.5km的断层影响带为最佳的有利成矿的断层影响范围;Au、Ag、Cu、Zn、重砂异常、多元素水系沉积物异常为成矿的有利地球化学元素异常组合;遥感解译的蚀变区和断裂的影响带为有利的成矿部位。利用GIS的空间分析功能分别提取了上述各成矿有利因子进而建立了层次分析模型,选择了地层、岩体、断裂、化探、遥感等16个分析因子。在此基础上,根据该区成矿概率的分布进行了成矿远景区的预测,共圈出了18个成矿远景区,其中有5个远景区几乎覆盖了所有的已知金矿床(点),而有5个远景区目前还未发现金矿床(点),预测结果对于该区的进一步找矿具有一定的指导意义。