简介:摘要“十三五”期间天津市经济转型和产业经济调整必然导致用电结构的变化,传统的预测模型通常表述的是变量之间的一种“长期均衡”关系,难以适应两者间短期偏离的冲击。本文首先探索分析了天津市历史经济形势及发展政策走向、电力需求的变化规律,深入研究了经济与电力长期协整关系,并在此基础上研究短期波动对用电的影响,建立了适用于天津市经济“新常态”下的误差修正模型以预测售电量变化,有效提升了模型的拟合优度和预测能力。
简介:China’spatentsystemwasestablishedin1984andcameintoeffectin1985.Threecomprehensiveamendmentshavebeenmadesofarandthefourthamendmentthatismorecomprehensiveisinprogress.Thisamendmentamountsto33articles,addingachapterof“ImplementationandApplicationofPatents”.Thekeypointsofamendmentaretostrengthentheprotectionofpatents,promotetheimplementationandapplicationofpatents,andincreasetheliabilityofpatentinfringement.Theimportantpointsofamendmentaretoimprovethelevelofpatentprotection,raisetheindemnificationstandard,transfertheburdenofproof,andencouragetheinventionandtilttheinterestsofthepatenteeorinventor.TheseamendmentswillfurtherpromotetheimprovementandperfectionofChina’spatentsystemandfurtherpromotethecivilizationandprogressofChina’ssociety.
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简介:Recently,ithasbeenseenthattheensembleclassifierisaneffectivewaytoenhancethepredictionperformance.However,itusuallysuffersfromtheproblemofhowtoconstructanappropriateclassifierbasedonasetofcomplexdata,forexample,thedatawithmanydimensionsorhierarchicalattributes.Thisstudyproposesamethodtoconstructeanensembleclassifierbasedonthekeyattributes.Inadditiontoitshigh-performanceonprecisionsharedbycommonensembleclassifiers,thecalculationresultsarehighlyintelligibleandthuseasyforunderstanding.Furthermore,theexperimentalresultsbasedontherealdatacollectedfromChinaMobileshowthatthekey-attributes-basedensembleclassifierhasthegoodperformanceonbothoftheclassifierconstructionandthecustomerchurnprediction.