Identifying Product and Process State Drivers in Manufacturing Systems Using Supervised Machine Learning (2015)

Identifying Product and Process State Drivers in Manufacturing Systems Using Supervised Machine Learning (2015)

ID:33997060

大小:10.87 MB

页数:284页

时间:2019-03-03

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1、SpringerThesesRecognizingOutstandingPh.D.ResearchThorstenWuestIdentifyingProductandProcessStateDriversinManufacturingSystemsUsingSupervisedMachineLearningSpringerThesesRecognizingOutstandingPh.D.ResearchAimsandScopeTheseries“SpringerTheses”bringstogetheraselectionoftheverybestPh.D.thesesfr

2、omaroundtheworldandacrossthephysicalsciences.Nominatedandendorsedbytworecognizedspecialists,eachpublishedvolumehasbeenselectedforitsscientificexcellenceandthehighimpactofitscontentsforthepertinentfieldofresearch.Forgreateraccessibilitytonon-specialists,thepublishedversionsincludeanextended

3、introduction,aswellasaforewordbythestudent’ssupervisorexplainingthespecialrelevanceoftheworkforthefield.Asawhole,theserieswillprovideavaluableresourcebothfornewcomerstotheresearchfieldsdescribed,andforotherscientistsseekingdetailedbackgroundinformationonspecialquestions.Finally,itprovidesa

4、naccrediteddocumentationofthevaluablecontributionsmadebytoday’syoungergenerationofscientists.Thesesareacceptedintotheseriesbyinvitednominationonlyandmustfulfillallofthefollowingcriteria•TheymustbewritteningoodEnglish.•ThetopicshouldfallwithintheconfinesofChemistry,Physics,EarthSciences,Eng

5、ineeringandrelatedinterdisciplinaryfieldssuchasMaterials,Nanoscience,ChemicalEngineering,ComplexSystemsandBiophysics.•Theworkreportedinthethesismustrepresentasignificantscientificadvance.•Ifthethesisincludespreviouslypublishedmaterial,permissiontoreproducethismustbegainedfromtherespectivec

6、opyrightholder.•Theymusthavebeenexaminedandpassedduringthe12monthspriortonomination.•Eachthesisshouldincludeaforewordbythesupervisoroutliningthesignifi-canceofitscontent.•Thethesesshouldhaveaclearlydefinedstructureincludinganintroductionaccessibletoscientistsnotexpertinthatparticularfield.

7、Moreinformationaboutthisseriesathttp://www.springer.com/series/8790ThorstenWuestIdentifyingProductandProcessStateDriversinManufacturingSystemsUsingSupervisedMachineLearningDoctoralThesisacceptedbyUniversityofBremen,Germany13AuthorSupervisorDr.-Ing.ThorstenWues

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