{"id":"https://openalex.org/W3045432329","doi":"https://doi.org/10.1109/tnnls.2020.3009417","title":"Broad Learning System Based on Maximum Correntropy Criterion","display_name":"Broad Learning System Based on Maximum Correntropy Criterion","publication_year":2020,"publication_date":"2020-07-24","ids":{"openalex":"https://openalex.org/W3045432329","doi":"https://doi.org/10.1109/tnnls.2020.3009417","mag":"3045432329","pmid":"https://pubmed.ncbi.nlm.nih.gov/32706648"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2020.3009417","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3009417","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","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/A5103276439","display_name":"Yunfei Zheng","orcid":"https://orcid.org/0000-0003-4026-2956"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunfei Zheng","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an, China","Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-4026-2956","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077852542","display_name":"Badong Chen","orcid":"https://orcid.org/0000-0003-1710-3818"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Badong Chen","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an, China","Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-1710-3818","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100640301","display_name":"Shiyuan Wang","orcid":"https://orcid.org/0000-0002-5028-5839"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyuan Wang","raw_affiliation_strings":["College of Electronic and Information Engineering, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-5028-5839","affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100665273","display_name":"Weiqun Wang","orcid":"https://orcid.org/0000-0001-6981-297X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"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":"Weiqun Wang","raw_affiliation_strings":["State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6981-297X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.7023,"has_fulltext":false,"cited_by_count":108,"citation_normalized_percentile":{"value":0.97392986,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"32","issue":"7","first_page":"3083","last_page":"3097"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9997000098228455,"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":0.9997000098228455,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9939000010490417,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9918000102043152,"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/outlier","display_name":"Outlier","score":0.7298613786697388},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.633432149887085},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6104128360748291},{"id":"https://openalex.org/keywords/moore\u2013penrose-pseudoinverse","display_name":"Moore\u2013Penrose pseudoinverse","score":0.5622060894966125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.473979651927948},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.41316545009613037},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37893322110176086},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.361985445022583},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.348200261592865},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2500208616256714}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7298613786697388},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.633432149887085},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6104128360748291},{"id":"https://openalex.org/C21556879","wikidata":"https://www.wikidata.org/wiki/Q43219517","display_name":"Moore\u2013Penrose pseudoinverse","level":3,"score":0.5622060894966125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.473979651927948},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.41316545009613037},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37893322110176086},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.361985445022583},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.348200261592865},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2500208616256714},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2020.3009417","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3009417","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:32706648","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32706648","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 neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G3213161551","display_name":null,"funder_award_id":"2019JZ-05","funder_id":"https://openalex.org/F4320336567","funder_display_name":"Natural Science Basic Research Program of Shaanxi Province"},{"id":"https://openalex.org/G440816782","display_name":null,"funder_award_id":"91648208","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G525149751","display_name":null,"funder_award_id":"61976175","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8401483390","display_name":null,"funder_award_id":"U1613219","funder_id":"https://openalex.org/F4320334117","funder_display_name":"National Natural Science Foundation of China-Shenzhen Robotics Research Center Project"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334117","display_name":"National Natural Science Foundation of China-Shenzhen Robotics Research Center Project","ror":null},{"id":"https://openalex.org/F4320336567","display_name":"Natural Science Basic Research Program of Shaanxi Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":81,"referenced_works":["https://openalex.org/W369786348","https://openalex.org/W850051531","https://openalex.org/W1514928307","https://openalex.org/W1561569551","https://openalex.org/W1601795611","https://openalex.org/W1663973292","https://openalex.org/W1819447595","https://openalex.org/W1903303072","https://openalex.org/W1965502699","https://openalex.org/W1980907873","https://openalex.org/W1986280275","https://openalex.org/W1996640396","https://openalex.org/W2010824005","https://openalex.org/W2011197824","https://openalex.org/W2039632702","https://openalex.org/W2040895929","https://openalex.org/W2043739261","https://openalex.org/W2106822551","https://openalex.org/W2111072639","https://openalex.org/W2112796928","https://openalex.org/W2113713615","https://openalex.org/W2119821739","https://openalex.org/W2123223828","https://openalex.org/W2129905273","https://openalex.org/W2133565549","https://openalex.org/W2135160607","https://openalex.org/W2136922672","https://openalex.org/W2137823674","https://openalex.org/W2145094598","https://openalex.org/W2162277051","https://openalex.org/W2187281534","https://openalex.org/W2399008697","https://openalex.org/W2481926318","https://openalex.org/W2505869405","https://openalex.org/W2560247988","https://openalex.org/W2573822039","https://openalex.org/W2579153588","https://openalex.org/W2603219125","https://openalex.org/W2606276143","https://openalex.org/W2624474281","https://openalex.org/W2738226240","https://openalex.org/W2746865825","https://openalex.org/W2753162851","https://openalex.org/W2766415189","https://openalex.org/W2770280546","https://openalex.org/W2774337156","https://openalex.org/W2801275556","https://openalex.org/W2833840129","https://openalex.org/W2887576641","https://openalex.org/W2888109343","https://openalex.org/W2889731581","https://openalex.org/W2890126432","https://openalex.org/W2890706287","https://openalex.org/W2891053631","https://openalex.org/W2895725208","https://openalex.org/W2895874728","https://openalex.org/W2904925876","https://openalex.org/W2923793675","https://openalex.org/W2947320005","https://openalex.org/W2952133801","https://openalex.org/W2963096987","https://openalex.org/W2963134661","https://openalex.org/W2963735582","https://openalex.org/W2963945706","https://openalex.org/W2964292098","https://openalex.org/W2965875348","https://openalex.org/W2967150994","https://openalex.org/W2970155929","https://openalex.org/W2972985782","https://openalex.org/W2997574889","https://openalex.org/W3098382789","https://openalex.org/W3120740533","https://openalex.org/W4230367971","https://openalex.org/W4233014035","https://openalex.org/W4239510810","https://openalex.org/W4300352410","https://openalex.org/W6639612093","https://openalex.org/W6681096077","https://openalex.org/W6686999899","https://openalex.org/W6740005241","https://openalex.org/W6751647823"],"related_works":["https://openalex.org/W3010926782","https://openalex.org/W2770176672","https://openalex.org/W1603142807","https://openalex.org/W2040517289","https://openalex.org/W1983274264","https://openalex.org/W2159579247","https://openalex.org/W4386941030","https://openalex.org/W4300648397","https://openalex.org/W4322614778","https://openalex.org/W2027513847"],"abstract_inverted_index":{"As":[0],"an":[1],"effective":[2],"and":[3,24,174],"efficient":[4],"discriminative":[5],"learning":[6,9,122,142],"method,":[7],"broad":[8],"system":[10,145],"(BLS)":[11],"has":[12],"received":[13],"increasing":[14],"attention":[15],"due":[16,50],"to":[17,51,54,67,74,85,96,100,167,180],"its":[18,52],"outstanding":[19],"performance":[20,106,184],"in":[21,64,111],"various":[22,172],"regression":[23,173],"classification":[25,175],"problems.":[26],"However,":[27],"the":[28,34,58,69,76,86,91,104,108,112,140,144,151,156,164,182,186],"standard":[29,109],"BLS":[30,82,110],"is":[31,94],"derived":[32,124],"under":[33],"minimum":[35],"mean":[36],"square":[37],"error":[38],"(MMSE)":[39],"criterion,":[40],"which":[41],"is,":[42],"of":[43,60,89,107,185],"course,":[44],"not":[45],"always":[46],"a":[47,80,126],"good":[48],"choice":[49],"sensitivity":[53],"outliers.":[55],"To":[56],"enhance":[57],"robustness":[59,99],"BLS,":[61],"we":[62],"propose":[63],"this":[65],"work":[66],"adopt":[68],"maximum":[70],"correntropy":[71],"criterion":[72],"(MCC)":[73],"train":[75],"output":[77],"weights,":[78],"obtaining":[79],"correntropy-based":[81],"(C-BLS).":[83],"Due":[84],"inherent":[87],"superiorities":[88],"MCC,":[90],"proposed":[92],"C-BLS":[93,136],"expected":[95],"achieve":[97],"excellent":[98],"outliers":[101],"while":[102],"maintaining":[103],"original":[105],"Gaussian":[113],"or":[114,163],"noise-free":[115],"environment.":[116],"In":[117],"addition,":[118],"three":[119],"alternative":[120],"incremental":[121,141],"algorithms,":[123,143],"from":[125,155],"weighted":[127],"regularized":[128],"least-squares":[129],"solution":[130],"rather":[131],"than":[132],"pseudoinverse":[133],"formula,":[134],"for":[135],"are":[137,178],"developed.":[138],"With":[139],"can":[146],"be":[147,168],"updated":[148],"quickly":[149],"without":[150],"entire":[152],"retraining":[153],"process":[154],"beginning":[157],"when":[158],"some":[159],"new":[160,187],"samples":[161],"arrive":[162],"network":[165],"deems":[166],"expanded.":[169],"Experiments":[170],"on":[171],"data":[176],"sets":[177],"reported":[179],"demonstrate":[181],"desirable":[183],"methods.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":29},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}