{"id":"https://openalex.org/W3112167241","doi":"https://doi.org/10.1109/tcyb.2020.3035800","title":"Weighted Kernel Fuzzy C-Means-Based Broad Learning Model for Time-Series Prediction of Carbon Efficiency in Iron Ore Sintering Process","display_name":"Weighted Kernel Fuzzy C-Means-Based Broad Learning Model for Time-Series Prediction of Carbon Efficiency in Iron Ore Sintering Process","publication_year":2020,"publication_date":"2020-12-10","ids":{"openalex":"https://openalex.org/W3112167241","doi":"https://doi.org/10.1109/tcyb.2020.3035800","mag":"3112167241","pmid":"https://pubmed.ncbi.nlm.nih.gov/33296327"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2020.3035800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.3035800","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5091260655","display_name":"Jie Hu","orcid":"https://orcid.org/0000-0002-1725-6366"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]},{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CA","CN"],"is_corresponding":true,"raw_author_name":"Jie Hu","raw_affiliation_strings":["School of Automation, China University of Geosciences, Wuhan, China","Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China","Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada"],"affiliations":[{"raw_affiliation_string":"School of Automation, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China","institution_ids":["https://openalex.org/I4210094879"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074710425","display_name":"Min Wu","orcid":"https://orcid.org/0000-0002-0668-8315"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Wu","raw_affiliation_strings":["School of Automation, China University of Geosciences, Wuhan, China","Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029643093","display_name":"Luefeng Chen","orcid":"https://orcid.org/0000-0003-3571-7493"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luefeng Chen","raw_affiliation_strings":["School of Automation, China University of Geosciences, Wuhan, China","Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024710105","display_name":"Kailong Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kailong Zhou","raw_affiliation_strings":["School of Automation, China University of Geosciences, Wuhan, China","Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100406354","display_name":"Pan Zhang","orcid":"https://orcid.org/0000-0003-0224-6082"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pan Zhang","raw_affiliation_strings":["School of Automation, China University of Geosciences, Wuhan, China","Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003799782","display_name":"Witold Pedrycz","orcid":"https://orcid.org/0000-0002-9335-9930"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]},{"id":"https://openalex.org/I185163786","display_name":"King Abdulaziz University","ror":"https://ror.org/02ma4wv74","country_code":"SA","type":"education","lineage":["https://openalex.org/I185163786"]},{"id":"https://openalex.org/I66083562","display_name":"Systems Research Institute","ror":"https://ror.org/0111cp837","country_code":"PL","type":"facility","lineage":["https://openalex.org/I66083562","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I99542240","display_name":"Polish Academy of Sciences","ror":"https://ror.org/01dr6c206","country_code":"PL","type":"government","lineage":["https://openalex.org/I99542240"]}],"countries":["CA","PL","SA"],"is_corresponding":false,"raw_author_name":"Witold Pedrycz","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada","Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland","Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland","institution_ids":["https://openalex.org/I66083562","https://openalex.org/I99542240"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia","institution_ids":["https://openalex.org/I185163786"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5091260655"],"corresponding_institution_ids":["https://openalex.org/I154425047","https://openalex.org/I3124059619","https://openalex.org/I4210094879"],"apc_list":null,"apc_paid":null,"fwci":2.3323,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.9091486,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"52","issue":"6","first_page":"4751","last_page":"4763"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9987000226974487,"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/T12676","display_name":"Machine Learning and ELM","score":0.9987000226974487,"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/T11837","display_name":"Iron and Steelmaking Processes","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10876","display_name":"Fault Detection and Control Systems","score":0.9448000192642212,"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/process","display_name":"Process (computing)","score":0.6099764108657837},{"id":"https://openalex.org/keywords/sintering","display_name":"Sintering","score":0.5370733737945557},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5156484842300415},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5024940967559814},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.49780893325805664},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4920760989189148},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49112197756767273},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.46853557229042053},{"id":"https://openalex.org/keywords/process-engineering","display_name":"Process engineering","score":0.4646795094013214},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.42770296335220337},{"id":"https://openalex.org/keywords/carbon-fibers","display_name":"Carbon fibers","score":0.41610461473464966},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24876347184181213},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.21244466304779053},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2090253233909607},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19613617658615112},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17340493202209473},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12313112616539001},{"id":"https://openalex.org/keywords/metallurgy","display_name":"Metallurgy","score":0.11975419521331787}],"concepts":[{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6099764108657837},{"id":"https://openalex.org/C2777581544","wikidata":"https://www.wikidata.org/wiki/Q844613","display_name":"Sintering","level":2,"score":0.5370733737945557},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5156484842300415},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5024940967559814},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.49780893325805664},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4920760989189148},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49112197756767273},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.46853557229042053},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.4646795094013214},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.42770296335220337},{"id":"https://openalex.org/C140205800","wikidata":"https://www.wikidata.org/wiki/Q5860","display_name":"Carbon fibers","level":3,"score":0.41610461473464966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24876347184181213},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.21244466304779053},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2090253233909607},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19613617658615112},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17340493202209473},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12313112616539001},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.11975419521331787},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C104779481","wikidata":"https://www.wikidata.org/wiki/Q50707","display_name":"Composite number","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2020.3035800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.3035800","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:33296327","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33296327","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G1649223801","display_name":null,"funder_award_id":"201806410051","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G26576258","display_name":null,"funder_award_id":"B17040","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G366022931","display_name":null,"funder_award_id":"2015CFA010","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G8552287044","display_name":null,"funder_award_id":"61210011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1649111190","https://openalex.org/W1985702987","https://openalex.org/W1993882792","https://openalex.org/W2028379735","https://openalex.org/W2036282945","https://openalex.org/W2135717036","https://openalex.org/W2189312358","https://openalex.org/W2335899954","https://openalex.org/W2408850300","https://openalex.org/W2473060649","https://openalex.org/W2526973686","https://openalex.org/W2528237000","https://openalex.org/W2559013665","https://openalex.org/W2560260256","https://openalex.org/W2560385169","https://openalex.org/W2619592458","https://openalex.org/W2737654582","https://openalex.org/W2738226240","https://openalex.org/W2779640815","https://openalex.org/W2789845700","https://openalex.org/W2795915456","https://openalex.org/W2802734970","https://openalex.org/W2884121498","https://openalex.org/W2887576641","https://openalex.org/W2888109343","https://openalex.org/W2889731581","https://openalex.org/W2890126432","https://openalex.org/W2890644749","https://openalex.org/W2890706287","https://openalex.org/W2891223087","https://openalex.org/W2899581489","https://openalex.org/W2909580881","https://openalex.org/W2917746835","https://openalex.org/W2927404528","https://openalex.org/W2944937715","https://openalex.org/W2972985782","https://openalex.org/W2990234411"],"related_works":["https://openalex.org/W3146752240","https://openalex.org/W2378086236","https://openalex.org/W2470504773","https://openalex.org/W1839750456","https://openalex.org/W2365145484","https://openalex.org/W1991354250","https://openalex.org/W2383968488","https://openalex.org/W1829125544","https://openalex.org/W1875055084","https://openalex.org/W2376799332"],"abstract_inverted_index":{"A":[0],"key":[1],"energy":[2,26],"consumption":[3],"in":[4,17],"steel":[5],"metallurgy":[6],"comes":[7],"from":[8],"an":[9,81],"iron":[10],"ore":[11],"sintering":[12,77,106,115],"process.":[13,53,139],"Enhancing":[14],"carbon":[15,36,40,102,109,167,195],"utilization":[16],"this":[18,138],"process":[19,59,116],"is":[20,31,121,143,154,160],"important":[21],"for":[22,124,162,205],"green":[23],"manufacturing":[24],"and":[25,28,100,188,208],"saving":[27],"its":[29,217],"prerequisite":[30],"a":[32,45,50,56,87,150],"time-series":[33,164,192],"prediction":[34,83,165,180,193],"of":[35,75,127,137,166,194,211],"efficiency.":[37,168,196],"The":[38],"existing":[39],"efficiency":[41,103,110],"models":[42,65],"usually":[43],"have":[44],"complex":[46,73],"structure,":[47],"leading":[48],"to":[49,97,131,156,216],"time-consuming":[51],"training":[52],"In":[54],"addition,":[55],"complete":[57],"retraining":[58],"will":[60],"be":[61,203],"encountered":[62],"if":[63],"the":[64,72,76,114,125,134,141,163,182,191,198,206],"are":[66,111],"inaccurate":[67],"or":[68],"data":[69,174],"change.":[70],"Analyzing":[71],"characteristics":[74],"process,":[78],"we":[79],"develop":[80],"original":[82],"framework,":[84],"that":[85],"is,":[86],"weighted":[88],"kernel-based":[89],"fuzzy":[90],"C-means":[91],"(WKFCM)-based":[92],"broad":[93],"learning":[94],"model":[95,184,200],"(BLM),":[96],"achieve":[98,190],"fast":[99],"effective":[101,209],"modeling.":[104],"First,":[105],"parameters":[107],"affecting":[108],"determined,":[112],"following":[113],"mechanism.":[117],"Next,":[118],"WKFCM":[119],"clustering":[120],"first":[122],"presented":[123],"identification":[126],"multiple":[128],"operating":[129,147],"conditions":[130],"better":[132],"reflect":[133],"system":[135],"dynamics":[136],"Then,":[140],"BLM":[142,159],"built":[144],"under":[145],"each":[146],"condition.":[148],"Finally,":[149],"nearest":[151],"neighbor":[152],"criterion":[153],"used":[155,204],"determine":[157],"which":[158],"invoked":[161],"Experimental":[169],"results":[170],"using":[171],"actual":[172],"run":[173],"exhibit":[175],"that,":[176],"compared":[177],"with":[178],"other":[179,212],"models,":[181],"developed":[183,199],"can":[185,201],"more":[186],"accurately":[187],"efficiently":[189],"Furthermore,":[197],"also":[202],"efficient":[207],"modeling":[210],"industrial":[213],"processes":[214],"due":[215],"flexible":[218],"structure.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}