紡紗質(zhì)量分析與預(yù)測(cè).pdf

1、Z8：901磊伽犬學(xué)碩士專(zhuān)業(yè)學(xué)位論文(2004屆)紡紗質(zhì)量分析與預(yù)測(cè)QualityAnalysisandpredictionoftheYam研咒生姓名遜壘蘭指導(dǎo)教師姓名睦壁墮盤(pán)擔(dān)熟自三專(zhuān)業(yè)名稱(chēng)笪墼三壁研究方向蟹i＆絲垂縫查塹堡塹生座旦論文提交日期2Q盟生!目ABSTRACTChina’sentryintotheWTOhasbroughthertextileindustryentirelynewchallengesaswellasarar

2、echancefordevelopmentInordertoadapttothevariOUSproblemsinthechangesofbusinessmanagementandmodesofproductionaccompanyingmarketglobalization，China’stextileindustrymusttry，aboveall，toincreasecompetitiVenessforitssurvivaland

3、development，andtheimprovementandguaranteeofthequalityofitsproductsshouldheofvitalimportanceforthispurposeThelagginggrowthandthebackwardmethodsseeninthequalitycontrolsystem，andparticularlyinthequalitypredictionsystemofthe

4、textiletrade，have，toacertainextent，restrictedthesustainabledevelopmentofthetextileindustryStartingwiththeanalysisoftheproductionprocessofspinning，thisarticleexpoundshowrawcottonasanessentialfactorotherthantheproductionsy

5、stemandthetechnologicalparametersofspinning，playsadecisireroleinaffectingthequalityoftheyarnThearticlefurtheranalysesthegreateffectsproducedbythequalityofrawcottononthetechn0109icalparametersofspinningandthequalityofthey

6、arnandpointsoutthatitisofgreatpracticalvaluetopredictthequalityofthefinishedyarnbymeansofthequalityofrawcottonThroughinterrelatedanalysisofthequalityindexesofrawcottonandthoseofthefinishedyarn，theauthorwasabletodetermine

7、theinterrelatednessanditsdegreeamongthevariouselements，andhas，withtheuseoftheartificialneuralnetwork，constructedamodelneuralnetworktopredictthequalityoftheyarnbymeansofthequalityindexesofrawcottonThemodelneuralnetworkrat