{"id":"https://openalex.org/W2810385025","doi":"https://doi.org/10.1109/eais.2018.8397186","title":"Evolving time-series based prediction models for quality criteria in a multi-stage production process","display_name":"Evolving time-series based prediction models for quality criteria in a multi-stage production process","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2810385025","doi":"https://doi.org/10.1109/eais.2018.8397186","mag":"2810385025"},"language":"en","primary_location":{"id":"doi:10.1109/eais.2018.8397186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eais.2018.8397186","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010578654","display_name":"Edwin Lughofer","orcid":"https://orcid.org/0000-0003-1560-5136"},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Edwin Lughofer","raw_affiliation_strings":["Alexandru-Ciprian Z\u0103voianu, Johannes Kepler University of Linz, Linz, Austria"],"affiliations":[{"raw_affiliation_string":"Alexandru-Ciprian Z\u0103voianu, Johannes Kepler University of Linz, Linz, Austria","institution_ids":["https://openalex.org/I121883995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014811671","display_name":"Robert A. Pollak","orcid":null},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Robert Pollak","raw_affiliation_strings":["Alexandru-Ciprian Z\u0103voianu, Johannes Kepler University of Linz, Linz, Austria"],"affiliations":[{"raw_affiliation_string":"Alexandru-Ciprian Z\u0103voianu, Johannes Kepler University of Linz, Linz, Austria","institution_ids":["https://openalex.org/I121883995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003598524","display_name":"Alexandru-Ciprian Z\u0103voianu","orcid":"https://orcid.org/0000-0003-1003-7504"},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Alexandru-Ciprian Zavoianu","raw_affiliation_strings":["Johannes Kepler Universitat Linz, Linz, AT"],"affiliations":[{"raw_affiliation_string":"Johannes Kepler Universitat Linz, Linz, AT","institution_ids":["https://openalex.org/I121883995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018593819","display_name":"Pauline Meyer-Heye","orcid":"https://orcid.org/0000-0001-5957-2976"},"institutions":[{"id":"https://openalex.org/I4210132502","display_name":"Profactor (Austria)","ror":"https://ror.org/043rjaw23","country_code":"AT","type":"company","lineage":["https://openalex.org/I4210132502"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Pauline Meyer-Heye","raw_affiliation_strings":["Profactor GmbH, Steyr-Gleink, Austria"],"affiliations":[{"raw_affiliation_string":"Profactor GmbH, Steyr-Gleink, Austria","institution_ids":["https://openalex.org/I4210132502"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069754070","display_name":"Helmut Z\u00f6rrer","orcid":"https://orcid.org/0000-0002-0669-8097"},"institutions":[{"id":"https://openalex.org/I4210132502","display_name":"Profactor (Austria)","ror":"https://ror.org/043rjaw23","country_code":"AT","type":"company","lineage":["https://openalex.org/I4210132502"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Helmut Zorrer","raw_affiliation_strings":["Profactor GmbH, Steyr-Gleink, Austria"],"affiliations":[{"raw_affiliation_string":"Profactor GmbH, Steyr-Gleink, Austria","institution_ids":["https://openalex.org/I4210132502"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020818005","display_name":"Christian Eitzinger","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christian Eitzinger","raw_affiliation_strings":["Stratec Consumables, Anif, Austria"],"affiliations":[{"raw_affiliation_string":"Stratec Consumables, Anif, Austria","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007573440","display_name":"Jasmin Lehner","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jasmin Lehner","raw_affiliation_strings":["Stratec Consumables, Anif, Austria"],"affiliations":[{"raw_affiliation_string":"Stratec Consumables, Anif, Austria","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090473596","display_name":"Thomas Radauer","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Thomas Radauer","raw_affiliation_strings":["School of Computer Science and Eng., Nanyang Technological University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Eng., Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036928886","display_name":"Mahardhika Pratama","orcid":"https://orcid.org/0000-0001-6531-5087"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Mahardhika Pratama","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore, SG"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore, SG","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5010578654"],"corresponding_institution_ids":["https://openalex.org/I121883995"],"apc_list":null,"apc_paid":null,"fwci":0.4755,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.59859273,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"171","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6178265810012817},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5683528780937195},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5148338675498962},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48256057500839233},{"id":"https://openalex.org/keywords/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.47566646337509155},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.46447622776031494},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4496855139732361},{"id":"https://openalex.org/keywords/iterative-and-incremental-development","display_name":"Iterative and incremental development","score":0.44848689436912537},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4443347156047821},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.4436275064945221},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43328842520713806},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3853093981742859},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38377639651298523},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3512982726097107},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33772486448287964}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6178265810012817},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5683528780937195},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5148338675498962},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48256057500839233},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.47566646337509155},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.46447622776031494},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4496855139732361},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.44848689436912537},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4443347156047821},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.4436275064945221},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43328842520713806},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3853093981742859},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38377639651298523},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3512982726097107},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33772486448287964},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/eais.2018.8397186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eais.2018.8397186","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320328079","display_name":"\u00d6sterreichische Forschungsgemeinschaft","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W807996015","https://openalex.org/W1171650066","https://openalex.org/W1418475881","https://openalex.org/W1541063383","https://openalex.org/W1542883383","https://openalex.org/W1871505182","https://openalex.org/W1976967072","https://openalex.org/W1990384678","https://openalex.org/W1993936209","https://openalex.org/W2003843585","https://openalex.org/W2017806383","https://openalex.org/W2045544997","https://openalex.org/W2052619287","https://openalex.org/W2056901498","https://openalex.org/W2057974719","https://openalex.org/W2073503722","https://openalex.org/W2076665520","https://openalex.org/W2092682490","https://openalex.org/W2093323445","https://openalex.org/W2093584883","https://openalex.org/W2093768254","https://openalex.org/W2122825543","https://openalex.org/W2124776405","https://openalex.org/W2126598074","https://openalex.org/W2141681031","https://openalex.org/W2148922589","https://openalex.org/W2153196467","https://openalex.org/W2193282862","https://openalex.org/W2282204482","https://openalex.org/W2344552554","https://openalex.org/W2480422823","https://openalex.org/W2592023122","https://openalex.org/W2608050821","https://openalex.org/W2756444473","https://openalex.org/W2787398802","https://openalex.org/W2911964244","https://openalex.org/W2913399920","https://openalex.org/W2962072167","https://openalex.org/W4244017338","https://openalex.org/W4250364582","https://openalex.org/W6623034183","https://openalex.org/W6639365408"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4312407344","https://openalex.org/W2894289927"],"abstract_inverted_index":{"We":[0,68],"address":[1],"the":[2,22,33,38,60,65,79,111,117,128,149,174,181,225,250,298,311,324],"problem":[3],"of":[4,28,37,83,99,152,166,173,180,204,224,272],"predicting":[5],"product":[6],"quality":[7,62],"for":[8,77,170,219,239],"a":[9,13,70,95,162,194,216,236,260,269],"latter":[10,66,231],"stage":[11,40],"in":[12,64,116,130,202],"production":[14,35,267],"process":[15,29,36],"already":[16],"at":[17,327],"an":[18,140,187,220],"early":[19,39],"stage.":[20,67],"Thereby,":[21],"idea":[23],"is":[24,127,247],"to":[25,49,58,113,147],"use":[26],"time-series":[27,84],"values,":[30],"recorded":[31],"during":[32],"on-line":[34,302],"and":[41,46,142,154,158,243,246,255,280],"containing":[42],"possible":[43],"system":[44,103],"dynamics":[45],"variations":[47],"according":[48],"parameter":[50],"settings":[51],"or":[52],"different":[53],"environmental":[54],"conditions,":[55],"as":[56,106,184,213,215,235,310],"input":[57,81,254],"predict":[59],"final":[61],"criteria":[63],"apply":[69],"non-linear":[71,132],"partial":[72],"least":[73],"squares":[74],"(PLS)":[75],"variant":[76,98,218,238],"reducing":[78],"high":[80],"dimensionality":[82],"batch-process":[85],"problems,":[86],"by":[87,139,209],"combining":[88],"PLS":[89,118,133],"with":[90,161,197,274,283,293,300,307],"generalized":[91],"Takagi-Sugeno":[92],"fuzzy":[93,102],"systems,":[94],"new":[96,217,237,301],"extended":[97],"classical":[100],"TS":[101],"(thus":[104],"termed":[105],"PLS-Fuzzy).":[107],"This":[108],"combination":[109],"opens":[110],"possibility":[112],"resolve":[114],"non-linearities":[115],"score":[119],"space":[120,228,334],"without":[121],"requiring":[122],"extra":[123],"pre-tuning":[124],"parameters":[125],"(as":[126],"case":[129,203],"other":[131],"variants).":[134],"The":[135,177,230],"models":[136,182,299],"are":[137,313],"trained":[138],"evolving":[141,189],"iterative":[143],"vector":[144],"quantization":[145],"approach":[146],"find":[148],"optimal":[150],"number":[151],"rules":[153],"their":[155],"ideal":[156],"positioning":[157],"shape,":[159],"combined":[160],"fuzzily":[163],"weighted":[164],"version":[165],"elastic":[167],"net":[168],"regu-larization":[169],"robust":[171],"estimation":[172],"consequent":[175],"parameters.":[176],"adaptation":[178],"algorithm":[179],"(termed":[183],"IPLS-GEFS)":[185],"includes":[186],"on-the-fly":[188],"rule":[190],"learning":[191,278,282],"concept":[192],"(GEFS),":[193],"forgetting":[195,200],"strategy":[196],"dynamically":[198],"varying":[199],"factor":[201],"drifts":[205],"(to":[206],"increase":[207],"flexibility":[208],"outweighing":[210],"older":[211],"samples)":[212],"well":[214],"incremental":[221,240,331],"single-pass":[222],"update":[223,245],"latent":[226,332],"variable":[227,333],"(IPLS).":[229],"can":[232],"be":[233],"seen":[234],"dimension":[241],"reduction":[242],"subspace":[244],"necessary":[248],"when":[249,329],"covariance":[251],"characteristics":[252],"between":[253],"output":[256],"changes.":[257],"Results":[258],"on":[259],"real-world":[261],"data":[262,303],"set":[263],"from":[264],"microfluidic":[265],"chip":[266],"show":[268],"comparable":[270],"performance":[271],"PLS-Fuzzy":[273],"random":[275],"forests,":[276],"extreme":[277],"machines":[279],"deep":[281],"MLP":[284],"neural":[285],"networks,":[286],"achieving":[287],"low":[288,294],"prediction":[289],"errors":[290],"(below":[291],"10%)":[292],"model":[295,325],"complexity.":[296],"Updating":[297],"\u2014":[304,322],"only":[305],"achievable":[306],"our":[308],"method,":[309],"others":[312],"batch":[314],"off-line":[315],"methods":[316],"(with":[317],"mostly":[318],"slow":[319],"re-training":[320],"phases)":[321],"decreased":[323],"errors,":[326],"most":[328],"including":[330],"update.":[335]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
