{"id":"https://openalex.org/W2084148106","doi":"https://doi.org/10.1080/00207720310001640304","title":"Data-driven fuzzy modelling of a rotary dryer","display_name":"Data-driven fuzzy modelling of a rotary dryer","publication_year":2003,"publication_date":"2003-11-01","ids":{"openalex":"https://openalex.org/W2084148106","doi":"https://doi.org/10.1080/00207720310001640304","mag":"2084148106"},"language":"en","primary_location":{"id":"doi:10.1080/00207720310001640304","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207720310001640304","pdf_url":null,"source":{"id":"https://openalex.org/S129640837","display_name":"International Journal of Systems Science","issn_l":"0020-7721","issn":["0020-7721","1464-5319"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Systems Science","raw_type":"journal-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/A5017660592","display_name":"Leena Yliniemi","orcid":null},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"L. Yliniemi","raw_affiliation_strings":["University of Oulu, Control Engineering Laboratory , University of Oulu , PO Box 4300, FIN-90014, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oulu, Control Engineering Laboratory , University of Oulu , PO Box 4300, FIN-90014, Finland","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069863735","display_name":"Jukka Koskinen","orcid":"https://orcid.org/0000-0001-9749-6302"},"institutions":[{"id":"https://openalex.org/I87653560","display_name":"VTT Technical Research Centre of Finland","ror":"https://ror.org/04b181w54","country_code":"FI","type":"nonprofit","lineage":["https://openalex.org/I4210089493","https://openalex.org/I87653560"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"J. Koskinen","raw_affiliation_strings":["VTT Electronics , PO Box 1100, Kaitov\u00e4yl\u00e4 1, FIN-90571 Oulu, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VTT Electronics , PO Box 1100, Kaitov\u00e4yl\u00e4 1, FIN-90571 Oulu, Finland","institution_ids":["https://openalex.org/I87653560"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026869526","display_name":"Kauko Leivisk\u00e4","orcid":"https://orcid.org/0000-0003-4447-9861"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"K. Leivisk\u00e4","raw_affiliation_strings":["University of Oulu, Control Engineering Laboratory , University of Oulu , PO Box 4300, FIN-90014, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oulu, Control Engineering Laboratory , University of Oulu , PO Box 4300, FIN-90014, Finland","institution_ids":["https://openalex.org/I98381234"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9289,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.81245564,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"34","issue":"14-15","first_page":"819","last_page":"836"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9821000099182129,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9821000099182129,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9509000182151794,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9355000257492065,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6605960726737976},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5289105176925659},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5246706008911133},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.518592357635498},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.5138640403747559},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5078509449958801},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4671240448951721},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4506917893886566},{"id":"https://openalex.org/keywords/multivariable-calculus","display_name":"Multivariable calculus","score":0.42019549012184143},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.36289864778518677},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3455891013145447},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3374924063682556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3362995684146881},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3354080319404602},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.2682778239250183},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22730013728141785}],"concepts":[{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6605960726737976},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5289105176925659},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5246706008911133},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.518592357635498},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.5138640403747559},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5078509449958801},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4671240448951721},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4506917893886566},{"id":"https://openalex.org/C117312493","wikidata":"https://www.wikidata.org/wiki/Q2035437","display_name":"Multivariable calculus","level":2,"score":0.42019549012184143},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.36289864778518677},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3455891013145447},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3374924063682556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3362995684146881},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3354080319404602},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.2682778239250183},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22730013728141785},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/00207720310001640304","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207720310001640304","pdf_url":null,"source":{"id":"https://openalex.org/S129640837","display_name":"International Journal of Systems Science","issn_l":"0020-7721","issn":["0020-7721","1464-5319"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Systems Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W14017730","https://openalex.org/W66329158","https://openalex.org/W1490891821","https://openalex.org/W1543820402","https://openalex.org/W1981416751","https://openalex.org/W2007042673","https://openalex.org/W2066159588","https://openalex.org/W2113076747","https://openalex.org/W2130070473","https://openalex.org/W2139585733","https://openalex.org/W2142343187","https://openalex.org/W2235284703","https://openalex.org/W2898891302","https://openalex.org/W4249242153"],"related_works":["https://openalex.org/W2945382830","https://openalex.org/W4242469293","https://openalex.org/W4224807364","https://openalex.org/W2596632494","https://openalex.org/W2535986621","https://openalex.org/W1980197432","https://openalex.org/W2382432689","https://openalex.org/W2000612978","https://openalex.org/W4388110928","https://openalex.org/W1483228865"],"abstract_inverted_index":{"It":[0],"was":[1,118],"examined":[2],"how":[3],"different":[4,99],"fuzzy":[5,11,85,153],"modelling":[6,20,44,86,91,132],"approaches,":[7],"such":[8],"as":[9],"neuro-fuzzy,":[10,152],"clustering":[12,154],"and":[13,64,77,128,143,155,161],"linguistic":[14,156],"equation":[15,157],"methods,":[16],"apply":[17,159],"to":[18,89],"the":[19,30,67,84,90,107,131,135,169],"of":[21,29,53,92,98],"a":[22,36,46,93,111,139,144],"rotary":[23,26,94,114],"dryer.":[24,95,115],"Because":[25],"drying,":[27],"one":[28],"oldest":[31],"process":[32],"in":[33],"industry,":[34],"is":[35,45,61,70],"highly":[37],"nonlinear,":[38],"strongly":[39],"interactive":[40],"multivariable":[41],"process,":[42],"its":[43],"demanding":[47],"task.":[48],"Its":[49],"mathematical":[50],"model,":[51],"consisting":[52],"partial":[54],"differential":[55],"equations":[56],"with":[57,106,134],"several":[58],"experimental":[59,75],"parameters,":[60],"very":[62],"complex":[63],"cumbersome.":[65],"Therefore,":[66],"data-driven":[68],"model":[69,142],"attractive,":[71],"especially":[72],"because":[73],"many":[74],"observations":[76],"operating":[78],"experience":[79],"exist.":[80],"The":[81,96,116,148],"paper":[82],"describes":[83],"approaches":[87,100],"applied":[88],"applicability":[97],"has":[101],"been":[102],"evaluated":[103],"by":[104,120,129,138],"simulations,":[105],"data":[108],"collected":[109],"from":[110],"pilot":[112],"plant":[113],"performance":[117],"estimated":[119],"an":[121],"error":[122],"index":[123],"root":[124],"means":[125],"squared":[126],"method":[127],"comparing":[130],"results":[133,136,149],"achieved":[137],"linear":[140],"regression":[141],"neural":[145],"network":[146],"model.":[147],"show":[150],"that":[151],"methods":[158],"well,":[160],"no":[162],"big":[163],"differences":[164],"can":[165],"be":[166],"detected":[167],"between":[168],"methods.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
