{"id":"https://openalex.org/W1849359136","doi":"https://doi.org/10.1109/ijcnn.2003.1223305","title":"A fast incremental learning algorithm of RBF networks with long-term memory","display_name":"A fast incremental learning algorithm of RBF networks with long-term memory","publication_year":2004,"publication_date":"2004-02-03","ids":{"openalex":"https://openalex.org/W1849359136","doi":"https://doi.org/10.1109/ijcnn.2003.1223305","mag":"1849359136"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2003.1223305","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","raw_type":"proceedings-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/A5064211595","display_name":"K. Okamato","orcid":null},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"K. Okamato","raw_affiliation_strings":["Graduate Sch. of Sci. & Technol., Kobe Univ., Japan"],"affiliations":[{"raw_affiliation_string":"Graduate Sch. of Sci. & Technol., Kobe Univ., Japan","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048669520","display_name":"Seiichi Ozawa","orcid":"https://orcid.org/0000-0002-0965-0064"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"S. Ozawa","raw_affiliation_strings":["Graduate School of Science and Technology, Kobe University, Kobe, JAPAN","Graduate Sch. of Sci. & Technol., Kobe Univ., Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Kobe University, Kobe, JAPAN","institution_ids":["https://openalex.org/I65837984"]},{"raw_affiliation_string":"Graduate Sch. of Sci. & Technol., Kobe Univ., Japan","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017496507","display_name":"Shigeo Abe","orcid":"https://orcid.org/0000-0002-6070-0338"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"S. Abe","raw_affiliation_strings":["Graduate School of Science and Technology, Kobe University, Kobe, JAPAN","Graduate Sch. of Sci. & Technol., Kobe Univ., Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Kobe University, Kobe, JAPAN","institution_ids":["https://openalex.org/I65837984"]},{"raw_affiliation_string":"Graduate Sch. of Sci. & Technol., Kobe Univ., Japan","institution_ids":["https://openalex.org/I65837984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064211595"],"corresponding_institution_ids":["https://openalex.org/I65837984"],"apc_list":null,"apc_paid":null,"fwci":3.1479,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.91685353,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"1","issue":null,"first_page":"102","last_page":"107"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9994000196456909,"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/T10320","display_name":"Neural Networks and Applications","score":0.9994000196456909,"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":0.9955999851226807,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9871000051498413,"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/computer-science","display_name":"Computer science","score":0.7429726123809814},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.664476752281189},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5462318658828735},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.5329443216323853},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5306982398033142},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"Incremental learning","score":0.4921669363975525},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.4836746156215668},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4778842031955719},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4708625376224518},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.4620833098888397},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44496631622314453},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3522779643535614},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33951789140701294},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1426662802696228}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7429726123809814},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.664476752281189},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5462318658828735},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.5329443216323853},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5306982398033142},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.4921669363975525},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.4836746156215668},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4778842031955719},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4708625376224518},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4620833098888397},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44496631622314453},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3522779643535614},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33951789140701294},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1426662802696228},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2003.1223305","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.135.4872","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.135.4872","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www2.kobe-u.ac.jp/~ozawasei/pub/ijcnn03a.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1628507877","https://openalex.org/W1689445748","https://openalex.org/W2099741167","https://openalex.org/W2106304233","https://openalex.org/W2114865067","https://openalex.org/W2118908934","https://openalex.org/W2124776405","https://openalex.org/W2143956139","https://openalex.org/W2158363710","https://openalex.org/W2285257517"],"related_works":["https://openalex.org/W2375684291","https://openalex.org/W2354676191","https://openalex.org/W2909957174","https://openalex.org/W3188646203","https://openalex.org/W2105527480","https://openalex.org/W4320035781","https://openalex.org/W136674370","https://openalex.org/W2115886818","https://openalex.org/W2466106906","https://openalex.org/W2069187387"],"abstract_inverted_index":{"To":[0,55,99],"avoid":[1],"the":[2,124,131],"catastrophic":[3],"interference":[4],"in":[5,33,68],"incremental":[6,63,96,144],"learning,":[7],"we":[8,59,106],"have":[9],"proposed":[10,132],"resource":[11],"allocating":[12],"network":[13],"with":[14],"long":[15,149],"term":[16],"memory":[17,30,35,88,142],"(RAN-LTM).":[18],"In":[19],"RAN-LTM,":[20,67],"not":[21,73,84],"only":[22],"a":[23,40,61],"new":[24],"training":[25],"sample":[26],"but":[27,75],"also":[28,93],"some":[29],"items":[31],"stored":[32],"long-term":[34],"are":[36,72],"trained":[37,74],"based":[38,77],"on":[39,78],"gradient":[41],"descent":[42],"algorithm":[43,65],"is":[44,92,128,146],"usually":[45],"slow":[46],"and":[47,90,117,137],"can":[48,134],"be":[49],"easily":[50],"fallen":[51],"into":[52],"local":[53],"minima.":[54],"solve":[56],"these":[57,101],"problems,":[58],"propose":[60],"fast":[62,136],"learning":[64,97,145],"of":[66,103,119,151],"which":[69],"its":[70],"centers":[71],"selected":[76],"output":[79],"errors.":[80],"This":[81],"model":[82],"does":[83],"need":[85],"so":[86],"much":[87],"capacity":[89],"it":[91,108,127],"realizes":[94],"robust":[95],"ability.":[98],"verify":[100],"characteristics":[102],"RAN/spl":[104],"I.bar/LTM,":[105],"apply":[107],"to":[109],"two":[110],"function":[111,115],"approximation":[112,116],"problems:":[113],"one-dimensional":[114],"prediction":[118],"Mackey-Glass":[120],"time":[121],"series.":[122],"From":[123],"experimental":[125],"results,":[126],"verified":[129],"that":[130],"RAN-LTM":[133],"learn":[135],"accurately":[138],"without":[139],"large":[140],"main":[141],"unless":[143],"conducted":[147],"over":[148],"period":[150],"time.":[152]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}