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ID:36352436
大小:3.89 MB
页数:55页
时间:2019-05-09
《城市需水量的预测研究》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、安徽理工大学硕士学位论文城市需水量的预测研究姓名:何忠华申请学位级别:硕士专业:计算机应用技术指导教师:孟祥瑞20090601安徽理工大学硕士学位论文AbstractAsthepopulationofcityincreasesandtheeconomydevelopsrapidly,waterdemandbecomesmoreandmorelarge.TheexistingwaterresourceandfacilitiesCan’tmeetthefuturedemand.Thecontradictionbetweensupplyanddemandisbecom
2、ingmoreandmoreremarkable.Inordertochangethepresentserioussituation,fmdingnewwellspringandsavingwatermustbemadetoinstructthefarfuturewatersupplyinginfrastructureconstruction.However,alltheseprogramsarebasedoncitywaterdemandforecast.Thus,waterdemandforecastcarriesanimportantsensetoward
3、sthedevelopmentofwaterfacilitiesincity.TheurbanwaterdemandforecastingCanbedividedintofourparts:industrialwaterdemand、agriculturewaterdemand、lifewaterdemandandmunicipalwaterdemand.Structureanalysisaboutwaterdemandisconducted,basedonresearchingthehistoryandeconomyofacity.Andrelatedfact
4、orsforwaterdemandarestudieddeeply.UnderthehelpofSPSSsoftware,correlationanalysisoffactorsismadeandsixfactorsarechoseasthecriticalfactorsofcitywaterdemandforecast.BPnetwork(namely,Back-Propagationnetwork)isakindofartificialneuralnetworks.ItCanapproachanyconsecutivefunction,justdesigne
5、d、析Ⅱlonehiddenlayer.Thisnonlinearcharactermakesitgainawideapplicationroominforecastingfield.However,thetraditionalBPalgorithmsholdsmanydrawbacks,suchas:beingpronetofallintoalocalminimBm、trainingwithaslowspeed、beingpooringeneralizing、beinghardtodecidethenumberofhiddenlayerunits.Thispa
6、permakesanimprovementforBPonthebasisoftheanalysisofdefectroot.Matlabsofrwareisanexcellentdevelopenvironmentwhichsupportssystem’sbuildingfromconceptiondesign、buildingmodel、simulationtorealization、析mrealtime.Itisalsocharacterized硒manymerits,suchas:programmingrapidly,powerfuldrawingperf
7、ormance,beingeasytovisualize、expressoperation(esp.whenoperating诵Ⅱlanmatrixoranarray).Inaddition,powerfulBPnetworktoolboxandexpressinterfacebuildingmade孤advancedimpulseforittowardsinformationsystemdevelop.Basingonallconsiderationsabove,thispaperbuildsanurbanwaterdemandforecastingmodel
8、诚mBPnetwork、
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