{"id":"https://openalex.org/W4403123047","doi":"https://doi.org/10.1109/tsmc.2024.3462801","title":"Generalized Maximum Correntropy Broad Learning System With Robust M-Estimator","display_name":"Generalized Maximum Correntropy Broad Learning System With Robust M-Estimator","publication_year":2024,"publication_date":"2024-10-04","ids":{"openalex":"https://openalex.org/W4403123047","doi":"https://doi.org/10.1109/tsmc.2024.3462801"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2024.3462801","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2024.3462801","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"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 Systems, Man, and Cybernetics: Systems","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/A5050937458","display_name":"Haiquan Zhao","orcid":"https://orcid.org/0000-0003-0198-1384"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiquan Zhao","raw_affiliation_strings":["School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-0198-1384","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xin Lu","orcid":"https://orcid.org/0009-0008-1822-5669"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Lu","raw_affiliation_strings":["School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0008-1822-5669","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100643265","display_name":"C. L. Philip Chen","orcid":"https://orcid.org/0000-0001-5451-7230"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"C. L. Philip Chen","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5451-7230","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.205,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.89128539,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"55","issue":"1","first_page":"228","last_page":"237"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9915000200271606,"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":0.9915000200271606,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9444000124931335,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9279999732971191,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6443982124328613},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5088589191436768},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.45263704657554626},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3889164924621582},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.37615731358528137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36271369457244873}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6443982124328613},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5088589191436768},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.45263704657554626},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3889164924621582},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.37615731358528137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36271369457244873}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsmc.2024.3462801","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2024.3462801","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"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 Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3184487484","display_name":null,"funder_award_id":"62171388","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4514581901","display_name":"\u9ad8\u6548\u7a33\u5065\u7684\u5206\u5e03\u5f0f\u7ea6\u675f\u81ea\u9002\u5e94\u6ee4\u6ce2\u65b0\u65b9\u6cd5\u4e0e\u5e94\u7528\u7814\u7a76","funder_award_id":"61871461","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6148365373","display_name":"\u591a\u6838\u81ea\u9002\u5e94\u6ee4\u6ce2\u65b0\u65b9\u6cd5\u53ca\u5e94\u7528\u7814\u7a76","funder_award_id":"61571374","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1980907873","https://openalex.org/W1996640396","https://openalex.org/W2035175837","https://openalex.org/W2038372656","https://openalex.org/W2573822039","https://openalex.org/W2624474281","https://openalex.org/W2738226240","https://openalex.org/W2753162851","https://openalex.org/W3013192954","https://openalex.org/W3016116215","https://openalex.org/W3024853581","https://openalex.org/W3035624973","https://openalex.org/W3044055626","https://openalex.org/W3045432329","https://openalex.org/W3115148317","https://openalex.org/W3191428555","https://openalex.org/W4206708161","https://openalex.org/W4213079838","https://openalex.org/W4225158741","https://openalex.org/W4286540489","https://openalex.org/W4309581574","https://openalex.org/W4310077797","https://openalex.org/W4312269004","https://openalex.org/W4328007235","https://openalex.org/W4366814042"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W4245953108","https://openalex.org/W1977619534","https://openalex.org/W2236763869","https://openalex.org/W2097626286","https://openalex.org/W4293568347","https://openalex.org/W2808230936","https://openalex.org/W2023659367"],"abstract_inverted_index":{"The":[0,140],"sensitivity":[1],"of":[2,21,56,80,104,164,187,199],"the":[3,10,19,57,60,70,78,81,86,122,148,152,158,162,165,182,197,200],"broad":[4],"learning":[5],"system":[6,82],"(BLS)":[7],"based":[8,36,84,114],"on":[9,37,85,115,185],"minimum-mean-square":[11],"error":[12],"(MMSE)":[13],"criterion":[14,41,88],"to":[15,26,110],"non-Gaussian":[16,61],"noise":[17,62],"limits":[18],"application":[20],"this":[22,28,30,107],"system.":[23],"In":[24,59],"order":[25],"solve":[27],"problem,":[29],"article":[31],"proposes":[32],"robust":[33,95],"BLS":[34,172],"(GC-BLS)":[35],"generalized":[38],"maximum":[39],"correntropy":[40],"(GMCC).":[42],"GMCC":[43],"has":[44,131],"a":[45],"more":[46],"general":[47],"kernel":[48,71,105,127],"function,":[49],"which":[50],"can":[51,98,119,177],"effectively":[52,120],"extract":[53],"high-dimensional":[54],"features":[55],"data.":[58],"environment,":[63],"GC-BLS":[64,174],"shows":[65],"excellent":[66],"robustness.":[67],"However,":[68],"if":[69],"width":[72,128],"deviates":[73],"from":[74],"its":[75],"optimal":[76],"value,":[77],"performance":[79,123,180],"constructed":[83],"entropy":[87],"may":[89],"fluctuate":[90],"or":[91],"even":[92],"degrade.":[93],"Since":[94],"regression":[96,191],"methods":[97],"improve":[99],"robustness":[100,133],"and":[101,130,157,175,193],"are":[102,143,167],"independent":[103],"width,":[106],"motivates":[108],"us":[109],"further":[111],"construct":[112],"MGC-BLS":[113,118,176],"M-estimator":[116,138],"functions.":[117],"suppress":[121],"degradation":[124],"caused":[125],"by":[126,145],"deviation":[129],"better":[132,179],"when":[134],"selecting":[135],"an":[136],"appropriate":[137],"function.":[139],"two":[141,201],"algorithms":[142,166],"optimized":[144],"fixed-point":[146],"iteration,":[147],"update":[149],"strategy":[150],"in":[151,181],"iterative":[153],"process":[154],"is":[155],"analyzed,":[156],"sufficient":[159],"conditions":[160],"for":[161],"convergence":[163],"given.":[168],"Compared":[169],"with":[170],"other":[171],"variants,":[173],"show":[178,196],"tests.":[183],"Experiments":[184],"University":[186],"California":[188],"Irvine":[189],"(UCI)":[190],"datasets":[192,195],"time-series":[194],"effectiveness":[198],"new":[202],"algorithms.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":4}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}