{"id":"https://openalex.org/W4394804936","doi":"https://doi.org/10.1109/tnnls.2024.3385407","title":"Selective Memory Recursive Least Squares: Recast Forgetting Into Memory in RBF Neural Network-Based Real-Time Learning","display_name":"Selective Memory Recursive Least Squares: Recast Forgetting Into Memory in RBF Neural Network-Based Real-Time Learning","publication_year":2024,"publication_date":"2024-04-15","ids":{"openalex":"https://openalex.org/W4394804936","doi":"https://doi.org/10.1109/tnnls.2024.3385407","pmid":"https://pubmed.ncbi.nlm.nih.gov/38619955"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3385407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3385407","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/A5038688931","display_name":"Yiming Fei","orcid":"https://orcid.org/0000-0001-8102-9726"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiming Fei","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, China","College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102010512","display_name":"Jiangang Li","orcid":"https://orcid.org/0000-0002-6064-3361"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangang Li","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082520195","display_name":"Yanan Li","orcid":"https://orcid.org/0000-0002-1443-2547"},"institutions":[{"id":"https://openalex.org/I162608824","display_name":"University of Sussex","ror":"https://ror.org/00ayhx656","country_code":"GB","type":"education","lineage":["https://openalex.org/I162608824"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yanan Li","raw_affiliation_strings":["Department of Engineering and Design, University of Sussex, Brighton, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Engineering and Design, University of Sussex, Brighton, U.K","institution_ids":["https://openalex.org/I162608824"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038688931"],"corresponding_institution_ids":["https://openalex.org/I168879160","https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":5.4759,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.96224342,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"36","issue":"4","first_page":"6767","last_page":"6779"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9947999715805054,"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":0.9947999715805054,"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":0.9945999979972839,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9718999862670898,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.9378871917724609},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6942585706710815},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6802777647972107},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5807510018348694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5286847949028015},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.49117228388786316},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.362148642539978},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3525243103504181},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16946962475776672}],"concepts":[{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.9378871917724609},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6942585706710815},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6802777647972107},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5807510018348694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5286847949028015},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.49117228388786316},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.362148642539978},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3525243103504181},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16946962475776672},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2024.3385407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3385407","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:38619955","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38619955","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":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5}],"awards":[{"id":"https://openalex.org/G1542800931","display_name":null,"funder_award_id":"52275481","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1945090690","https://openalex.org/W1974333170","https://openalex.org/W1978513307","https://openalex.org/W1986024064","https://openalex.org/W2004126641","https://openalex.org/W2006535037","https://openalex.org/W2017382559","https://openalex.org/W2020488014","https://openalex.org/W2021123050","https://openalex.org/W2040505269","https://openalex.org/W2044100505","https://openalex.org/W2051671655","https://openalex.org/W2057423886","https://openalex.org/W2081166352","https://openalex.org/W2087619814","https://openalex.org/W2088218212","https://openalex.org/W2096053111","https://openalex.org/W2097533491","https://openalex.org/W2113442785","https://openalex.org/W2113890143","https://openalex.org/W2148246129","https://openalex.org/W2149772057","https://openalex.org/W2152095889","https://openalex.org/W2154103615","https://openalex.org/W2156174311","https://openalex.org/W2157577161","https://openalex.org/W2158054309","https://openalex.org/W2165778925","https://openalex.org/W2166657034","https://openalex.org/W2170141744","https://openalex.org/W2306204307","https://openalex.org/W2344210503","https://openalex.org/W2663199868","https://openalex.org/W2901756453","https://openalex.org/W2973191244","https://openalex.org/W3009292214","https://openalex.org/W3032113423","https://openalex.org/W3041689547","https://openalex.org/W3042953282","https://openalex.org/W3099514962","https://openalex.org/W3129588829","https://openalex.org/W3135591727","https://openalex.org/W4240691156","https://openalex.org/W4280581922","https://openalex.org/W4289256535"],"related_works":["https://openalex.org/W4289718052","https://openalex.org/W2164121020","https://openalex.org/W2145559838","https://openalex.org/W2905319430","https://openalex.org/W3116498279","https://openalex.org/W4287549553","https://openalex.org/W4310285384","https://openalex.org/W3183027292","https://openalex.org/W4320853675","https://openalex.org/W1998698147"],"abstract_inverted_index":{"In":[0,152],"radial":[1],"basis":[2],"function":[3,143],"neural":[4,18,160],"network":[5,19,161],"(RBFNN)-based":[6],"real-time":[7,64],"learning":[8,198],"tasks,":[9],"forgetting":[10,29,54,78,89,183],"mechanisms":[11,79],"are":[12,40,80,104,204],"widely":[13],"used":[14],"such":[15],"that":[16],"the":[17,51,76,88,94,100,106,110,124,128,155,159,168,172,182],"can":[20],"keep":[21],"its":[22,164],"sensitivity":[23],"to":[24,49,99,154,167],"new":[25],"data.":[26],"However,":[27],"with":[28,177],"mechanisms,":[30],"some":[31],"useful":[32],"knowledge":[33,53],"will":[34],"get":[35],"lost":[36],"simply":[37],"because":[38],"they":[39],"learned":[41],"a":[42,63,83,134,140],"long":[43],"time":[44,101],"ago,":[45],"which":[46,75,91,203],"we":[47],"refer":[48],"as":[50],"passive":[52],"phenomenon.":[55],"To":[56],"address":[57],"this":[58,60],"problem,":[59],"article":[61],"proposes":[62],"training":[65,179],"method":[66],"named":[67],"selective":[68],"memory":[69,84,107],"recursive":[70,185],"least":[71,186],"squares":[72,187],"(SMRLS)":[73],"in":[74],"classical":[77,178],"recast":[81],"into":[82,133],"mechanism.":[85],"Different":[86],"from":[87,149,171],"mechanism,":[90],"mainly":[92],"evaluates":[93,109],"importance":[95,111],"of":[96,112,120,127,137],"samples":[97,103,113,148],"according":[98,166],"when":[102],"collected,":[105],"mechanism":[108],"through":[114],"both":[115],"temporal":[116],"and":[117,139,189,200],"spatial":[118],"distribution":[119],"samples.":[121],"With":[122],"SMRLS,":[123],"input":[125],"space":[126],"RBFNN":[129],"is":[130,144],"evenly":[131],"divided":[132],"finite":[135],"number":[136],"partitions,":[138],"synthesized":[141,147],"objective":[142],"developed":[145],"using":[146],"each":[150],"partition.":[151],"addition":[153],"current":[156],"approximation":[157],"error,":[158],"also":[162],"updates":[163],"weights":[165],"recorded":[169],"data":[170],"partition":[173],"being":[174],"visited.":[175],"Compared":[176],"methods":[180],"including":[181],"factor":[184],"(FFRLS)":[188],"stochastic":[190],"gradient":[191],"descent":[192],"(SGD)":[193],"methods,":[194],"SMRLS":[195],"achieves":[196],"improved":[197],"speed":[199],"generalization":[201],"capability,":[202],"demonstrated":[205],"by":[206],"corresponding":[207],"simulation":[208],"results.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
