自适应神经模糊推理在大气环境质量评价中的应用

:2006-05-24:(1980-),,,,自适应神经模糊推理在大气环境质量评价中的应用1,2(1,510170;2,510275):利用matlab模糊工具箱中自适应神经模糊推理系统(Anfis)方法,对大气环境质量评价作一个尝试性的工作利用Anfis法对大气环境质量现状的评价,并与灰色聚类法作比较,得出Anfis法用于评价环境质量是可行的,且具有许多优点:自适应神经模糊推理;大气环境质量评价;应用:X82:A:1006-947X(2007)01-0083-031965,ZedehLA,,KoskobNeuralNetworksandFuzzySystemsJyh-ShingRogerJang,Anfis,,,,Anfis,1Anfis[1~2]11AnfisAnfis,,1,Oki=Oki(Ok-11,!!,Ok-1∀(k-1),a,b,c,!!)(1)(1),1:,AiBi,AiBi,:O1i=Ai(x)O1i=Bi(x),i=1,2(2),bell-shaped,(3):Ai(x)=11+(x-ciai)2bi(3){ai,bi,ci}2:,,,:O2i=Ai(x)#Bi(y),i=1,2(4)3:,ii,,:O3i=wi=wiw1+w2,i=1,2(5)4:1:ifxisA1andyisB1thenf1=p1x+q1y+r1;2:ifxisA2andyisB2thenf2=p2x+q2y+r2:O4i=wifi=i(pix+qiy+ri)(6){p,iq,iri}i5:,,:f=O51=∃wifi=∃i=1wi#fi∃i=1wi(7)%83%环境科学导刊2007,26(1):83-85CN53-1205/XISSN1006-947X1(-,&-)12,Jyh-ShingRogerJang,sugeno-type:Output=F(IS)(8)I:S-,S=S1+S2H,HFHFS2,(8):H(output)=HF(IS)S2S1,P,,:AX=B(9)XX*∋AX-B∋,,X*=(ATA)-1ATB,,,AB,,,S1N,S1221AnfisAnfis:a11a12Kb1MOMam1am2Lbma11!!a1n,1,MatlabSample2,,1,{,,,}{01,1,2,3},MatlabtrndataMatlabAnfis,231200310:mg/Nm3NO2SO2PM10TSP1#00821010190054022852#01019009820047016453#00828007320121501344#007240093100795017855#00776007970070502426#008370109903925014752:mg/Nm3NO2SO2PM10TSP00010005000500120110100500501212012015015022301502502503323:in-fismat=genfis1(trndata)#%84%环境科学导刊第26卷第1期2007年2月Sugeno-type,16(rule),2,#[in-fismat1,error1,ss,out-fisma,terror2]=anfis(trndata,in-fisma,t[],[],trndata)##,Sample:out-fismat1=evalfis([trndata(:,1:4);sample],out-fismat),01000100002000030000%trndata068330715006228074910748011120%sample6068330715006228074910748011120,6plot(error1),5:422[3],63~53NO2SO2PM10TSP1#(1)100048096072200005200402930000000000002#(1)0910521000442010048000056300003#(1)100077029083200002307201830000000000004#(1)100057071027200004303007330000000000005#(1)100070080000200003002105830000000000426#(1)10004000006620000600000343000000100000,61,,Anfis:,,;,,Anfis,;,input-output,,,,Anfis,4NO2SO2PM10TSP1014033033019202502502502530300220220255()1231#07602100012#07202800013#06502800014#06203600015#06402701116#04002302213Anfis,,Anfis,,,,,,:[1]Jyh-ShingRogerJangAnfis:adaptive-network-basedfuzzyinferencesystem[J]IEEtransactionsonsystems,Man,andCybernertics,VOL23,NO3[2],[J],2004,21(3)[3],[J],2004,20(2)(89)%85%自适应神经模糊推理在大气环境质量评价中的应用韦彩嫩:[1][M]:,2005[2][M]:,2004[3][J],1997,27(4)[4][D]:,1996[5][M]:,2001[6][J](),1995,15(3)StudyonComprehensiveAssessmentSystemofIndoorEnvironmentalQualityLUBin(HangzhouVocationalTechniqueCollege,HangzhouZhejiang310018China)Abstract:Thereareseveralwaystoassessindoorenvironmentalqualityincludingobjectiveassessmentsystem,subjectiveassessmentsystemandcomprehensiveassessmentsystem.Somenecessarypartsareputforwardalsobasedontheseways.Keywords:assessmentsystem;indoorenvironmentalquality;briefstudy(85)ApplicationofAdaptiveNeuralFuzzyInferenceSystemtoAssessEnvironmentQualityWEICai-nen1,ZHANGShu-juan2(1ResearchInstituteofEnvironmentalSanitationofGuangzhou,GuangzhouGuangdong510170China)Abstract:ThispaperusestheAnfismethodinthefuzzylogictoolboxinmaltabtoassesstheatmosphereenvironmentquality,andtheresultiscomparedwiththatofthegreyclusteringmethod.TheAnfismethodisarationalmethodtoassessenvironmentquality,whichhasmanyadvantagesinassessthequalityofenvironmen.tKeywords:Anfis;atmosphereenvironmentqualityassessmen;tApplication%89%室内环境质量综合评价体系初探陆斌