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时间:2019-03-01
《应用灰色关系集群和cgnn分析矿井深部入口围岩的稳定性控制毕业论文外文翻译》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、拟建中的阜阳市中国XXXX国际服装城依托中国XX国际服装城,拟建成为皖西北地区规格最高、规模最大、商务及功能最优的现代化、国际化服装专业市场,建设规模占地约128亩,建筑面积约25万平方米,项目总投资约5亿元人民币。经过1--2年的开发建设,能达到正常运营期的中国XX.XX国际服装城将吸纳全国和世界各地的经销商、代理商企业物流总部等500—1000家,预计年交易额实现68亿元人民币,每年实现税收8000—10000万元人民币,每年实现利润1.68亿元人民币,实现就业和创业人员约2万以上。英文原文ApplicationofGreyRelationalClusteringandCGNN
2、inAnalyzingStabilityControlofSurroundingRocksinDeepEntryofCoalMineWanbinYANG1,ZhimingQU2(1.BeijingUniversityofScienceandTechnology,Beijing,;2.HebeiUniversityofEngineering,Handan,)Abstract—Withcombinationofgreyneuralnetwork(CGNN)andgreyrelationalclustering,themodelsareconstructed,whichareusedto
3、solvethepredictionandcoMParisonofsurroundingrocksstabilitycontrollingparametersindeepentryofcoalmine.TheresultsshowthatgreyrelationalclusteringisaneffectivewayandCGNNhasperfectabilitytobestudiedinashort-termprediction.Combinedgreyneuralnetworkhasthefeaturesoftrendandfluctuationwhilecombiningwi
4、ththetime-dependentsequenceprediction.ItisconcludedthatgreatimprovementscoMParedwithanymethodsoftrendpredictionandsimplefactorincombinedgreyneuralnetworkisstatedanddescribedinstablycontrollingthesurroundingrocksindeepentry.I.INTRODUCTIONGREYsystemtechnologystatestheuncertaintyofsmallsampleandp
5、oorinformation.Withthedevelopmentandgenerationoftheunknowninformation,therealworldwillbediscoveredandthesystemoperationbehaviorwillbemasteredproperly.Throughoriginalstabilitywiththepre-processing,thegreysystemlawwillbedescribed.Thoughtherealworldisexpressedcomplicatedlyandthesatisfiedirregular
6、ly,theintegratedfunctionswillbeappearedasacertaininnerregularpattern[1].Thestudyingofgreysystemtechnologyisbasedonthepoorinformationwhichisgeneratedbypartsoftheknowninformationtoextractvaluablestabilityandtoproperlyrecognizeandeffectivelycontrolthesystembehavior.Theneuralnetworkisdependentonit
7、sinnerrelationstomodel,whichiswellself-organizedandself-adapted.Theneuralnetworkcanconquerthedifficultiesoftraditionallyquantitativepredictionandavoidthedisturbanceofman’smind.Thegreyrelationalanalysisisbasedonthesimilarityofgeometricpa
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