{"id":"https://openalex.org/W2770837308","doi":"https://doi.org/10.1109/tie.2017.2772141","title":"Bayesian Block Structure Sparse Based T\u2013S Fuzzy Modeling for Dynamic Prediction of Hot Metal Silicon Content in the Blast Furnace","display_name":"Bayesian Block Structure Sparse Based T\u2013S Fuzzy Modeling for Dynamic Prediction of Hot Metal Silicon Content in the Blast Furnace","publication_year":2017,"publication_date":"2017-11-28","ids":{"openalex":"https://openalex.org/W2770837308","doi":"https://doi.org/10.1109/tie.2017.2772141","mag":"2770837308"},"language":"en","primary_location":{"id":"doi:10.1109/tie.2017.2772141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2017.2772141","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Industrial Electronics","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/A5100769705","display_name":"Junpeng Li","orcid":"https://orcid.org/0000-0003-4028-2703"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]},{"id":"https://openalex.org/I4210128819","display_name":"Institute of Electrical Engineering","ror":"https://ror.org/033js6g46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128819"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junpeng Li","raw_affiliation_strings":["Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China"],"raw_orcid":"https://orcid.org/0000-0003-4028-2703","affiliations":[{"raw_affiliation_string":"Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907","https://openalex.org/I4210128819"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380201","display_name":"Changchun Hua","orcid":"https://orcid.org/0000-0001-6311-2112"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]},{"id":"https://openalex.org/I4210128819","display_name":"Institute of Electrical Engineering","ror":"https://ror.org/033js6g46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128819"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changchun Hua","raw_affiliation_strings":["Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China"],"raw_orcid":"https://orcid.org/0000-0001-6311-2112","affiliations":[{"raw_affiliation_string":"Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907","https://openalex.org/I4210128819"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022985654","display_name":"Yana Yang","orcid":"https://orcid.org/0000-0001-6006-8566"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]},{"id":"https://openalex.org/I4210128819","display_name":"Institute of Electrical Engineering","ror":"https://ror.org/033js6g46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128819"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yana Yang","raw_affiliation_strings":["Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907","https://openalex.org/I4210128819"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100690710","display_name":"Xinping Guan","orcid":"https://orcid.org/0000-0003-1858-8538"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]},{"id":"https://openalex.org/I4210128819","display_name":"Institute of Electrical Engineering","ror":"https://ror.org/033js6g46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128819"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinping Guan","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China","Institute of Electrical Engineering, Yanshan University, Qinghuangdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Institute of Electrical Engineering, Yanshan University, Qinghuangdao, China","institution_ids":["https://openalex.org/I39333907","https://openalex.org/I4210128819"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.7379,"has_fulltext":false,"cited_by_count":73,"citation_normalized_percentile":{"value":0.95368332,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"65","issue":"6","first_page":"4933","last_page":"4942"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11837","display_name":"Iron and Steelmaking Processes","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11837","display_name":"Iron and Steelmaking Processes","score":0.9994999766349792,"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/T11126","display_name":"Metallurgical Processes and Thermodynamics","score":0.9908999800682068,"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9842000007629395,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/blast-furnace","display_name":"Blast furnace","score":0.6012465357780457},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5549792647361755},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5256083011627197},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5179340243339539},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.47929590940475464},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.46635901927948},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44070127606391907},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.37852931022644043},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34531307220458984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33202460408210754},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23865553736686707},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.10904800891876221}],"concepts":[{"id":"https://openalex.org/C2780269488","wikidata":"https://www.wikidata.org/wiki/Q181485","display_name":"Blast furnace","level":2,"score":0.6012465357780457},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5549792647361755},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5256083011627197},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5179340243339539},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.47929590940475464},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.46635901927948},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44070127606391907},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37852931022644043},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34531307220458984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33202460408210754},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23865553736686707},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.10904800891876221},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tie.2017.2772141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2017.2772141","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Industrial Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G1304009468","display_name":null,"funder_award_id":"2017M611186","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G2407646696","display_name":null,"funder_award_id":"BX201600128","funder_id":"https://openalex.org/F4320335768","funder_display_name":"National Postdoctoral Program for Innovative Talents"},{"id":"https://openalex.org/G2649931357","display_name":null,"funder_award_id":"61290322","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3391157334","display_name":null,"funder_award_id":"2017M611185","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4136329658","display_name":null,"funder_award_id":"F2017203260","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G4672865622","display_name":null,"funder_award_id":"61603330","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6738605666","display_name":null,"funder_award_id":"61703361","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6995740372","display_name":null,"funder_award_id":"61703149","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8226918676","display_name":null,"funder_award_id":"61673335","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335768","display_name":"National Postdoctoral Program for Innovative Talents","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1001685595","https://openalex.org/W1963615925","https://openalex.org/W1977699987","https://openalex.org/W1978439840","https://openalex.org/W1981977606","https://openalex.org/W1987597436","https://openalex.org/W1996179078","https://openalex.org/W1997133836","https://openalex.org/W1998980195","https://openalex.org/W1999661205","https://openalex.org/W2019207321","https://openalex.org/W2020616521","https://openalex.org/W2021642438","https://openalex.org/W2023773297","https://openalex.org/W2028216301","https://openalex.org/W2029383196","https://openalex.org/W2034162708","https://openalex.org/W2036991668","https://openalex.org/W2045862917","https://openalex.org/W2058815213","https://openalex.org/W2059495619","https://openalex.org/W2064131462","https://openalex.org/W2066477526","https://openalex.org/W2073098627","https://openalex.org/W2079325629","https://openalex.org/W2090193380","https://openalex.org/W2092720878","https://openalex.org/W2093806571","https://openalex.org/W2107710506","https://openalex.org/W2124065547","https://openalex.org/W2126598074","https://openalex.org/W2137611688","https://openalex.org/W2145313009","https://openalex.org/W2160327601","https://openalex.org/W2313121853","https://openalex.org/W2409856043","https://openalex.org/W2509941464","https://openalex.org/W2514011059","https://openalex.org/W2645397882","https://openalex.org/W2726422765","https://openalex.org/W4231765909","https://openalex.org/W4285719527","https://openalex.org/W6676234565"],"related_works":["https://openalex.org/W2407375987","https://openalex.org/W3049691116","https://openalex.org/W2505726097","https://openalex.org/W2010643158","https://openalex.org/W2106867672","https://openalex.org/W4310268968","https://openalex.org/W2950975704","https://openalex.org/W4297815943","https://openalex.org/W2053745677","https://openalex.org/W2189378472"],"abstract_inverted_index":{"Since":[0],"the":[1,8,12,16,29,49,55,78,85,105,124,127,136],"hot":[2],"metal":[3],"silicon":[4],"content":[5],"simultaneously":[6],"reflects":[7],"product":[9],"quality":[10],"and":[11,23,54,104,119,133],"thermal":[13],"state":[14],"of":[15,31,97,116,126,135,146],"blast":[17,128,144],"furnace,":[18],"its":[19],"modeling":[20,45],"is":[21,102,109],"crucial":[22],"representative.":[24],"In":[25],"order":[26],"to":[27,64,77,84,89,111],"facilitate":[28],"realization":[30],"control,":[32],"this":[33],"paper":[34],"proposes":[35],"a":[36,66,95],"Bayesian":[37,87,107],"block":[38,98],"structure":[39,99],"sparse":[40,100],"based":[41],"Takagi-Sugeno":[42],"(T-S)":[43],"fuzzy":[44,52,68],"method,":[46],"with":[47,70],"which":[48],"main":[50],"important":[51],"rules":[53],"corresponding":[56],"pivotal":[57],"consequent":[58],"parameters":[59],"can":[60],"be":[61,90],"selected":[62],"automatically":[63],"obtain":[65],"compact":[67],"model":[69,117],"good":[71],"generalization":[72],"performance.":[73],"For":[74],"being":[75],"conjugate":[76],"Gaussian":[79],"likelihood":[80],"that":[81],"would":[82],"lead":[83],"associated":[86],"inference":[88,108],"performed":[91],"in":[92,149],"closed":[93],"form,":[94],"hierarchy":[96],"priori":[101],"adopted,":[103],"variational":[106],"used":[110],"solve":[112],"it.":[113],"The":[114,131],"screening":[115],"inputs":[118],"data":[120],"processing":[121],"appropriately":[122],"consider":[123],"characteristics":[125],"furnace":[129,145],"process.":[130],"applicability":[132],"performance":[134],"proposed":[137],"method":[138],"are":[139],"demonstrated":[140],"on":[141],"no.":[142],"2":[143],"Liuzhou":[147],"Steel":[148],"China.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
