基于人工神經(jīng)網(wǎng)絡的粗紡羊絨紗線質(zhì)量預報模型

1、類別：全日制碩士研究生題目：基于人工神經(jīng)網(wǎng)絡的粗紡羊絨紗線質(zhì)量預報模型英文題目：類別：全日制碩士研究生題目：基于人工神經(jīng)網(wǎng)絡的粗紡羊絨紗線質(zhì)量預報模型英文題目：PredictionModeloftheQualityofWoolenCashmereYarnBasedonArtificialNeuralwk研究生：宋雙學科名稱：紡織化學與染整工程指導教師：李巨才優(yōu)高工二○一○年五月研究生：宋雙學科名稱：紡織化學與染整工程指導教師：李巨才優(yōu)高

2、工二○一○年五月碩士學位論文碩士學位論文分類號:學校代碼:10128分類號:學校代碼:10128UDC:學號:20071384學號:20071384AbstractCashmereisoneofthepreciousnaturaltextilematerialsinthewlditisknownasthekingofanimalfibersbecauseofitsuniquefeaturessuchaslightsoftsmoothwa

3、xyets.itisnamedas“softgold”“diamondfiber”intheinternationalmarket.InChinathecashmereindustrylagsbehindnewtechnologywhichmakeshighqualitycashmereproductstobeaffectedbythedevelopmentofhighaddedvaluesohowtoachievelowpowerhi

4、ghqualityhighvalueaddedtextileproductsthroughthequalityofpredictionbecomethemostimptantissuethatneedstoberesolvedintheChinesetextileindustry.Withthehelpofartificialneuralwkrawwoolrovingspinningprocesseshavebeenstudiedint

5、histhesisqualityofwoolencashmereyarnfecastwererealized.Inthisthesisalotofresearchesweredoneonthebasisofexistedtheeticalresearchespracticalapplication.Firstlytheaffectionofperfmancefigureofcashmereonthefinishedyarnisanaly

6、zedwhiletherovephysicalindicatsaredrawnintobetweenthemtheresultthatphysicalindicatsofcashmerecoulddirectlyinfluenceintoyarnphysicalindicatscanbeobtainedaftercrelationanalysisithascrelativitybetweenthephysicalindicatsofca

7、shmereyarn.Itcanbeknownthattopredictphysicalindicatsofendproductthroughqualityindexofcashmereyarnbecomepossibleappliyingtoartificialneuralwkmodel.Thenpredictionmodelofthewoolencashmereyarnqualityisestablishedaccdingtocre

8、spondingalgithmbyapplyingtheproductiondataofenterpriseartificialneuralwktechnologytheprogramiscompiledtheapplicationinterfaceisdesignedtheoptimalstructurofthemodelistrained.Themethodthatusedinthethesisisbetterthanotherst

9、hroughcompareingthepredictionresultswithothermethods’afterthequalityfecastingmodeliscompleted.Theestablishmentofthewoolencashmereyarnpredictionmodelcannotonlytoachievehighprofithighqualityhighefficiencyofspinningprocessb

10、utalsotoextendtoothercashmeretextileindustryfmtherapidresponseofwholetextileprocessingsystem.Fthemodelvisualinterfaceisdesignedthesoftwarebasedofyarnqualitypredictionmodelisrealizedithasveryimptantsignificancetoreducethe