{"id":"https://openalex.org/W2123887195","doi":"https://doi.org/10.1109/ijcnn.2013.6706725","title":"An incremental self-organizing neural network based on enhanced competitive Hebbian learning","display_name":"An incremental self-organizing neural network based on enhanced competitive Hebbian learning","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2123887195","doi":"https://doi.org/10.1109/ijcnn.2013.6706725","mag":"2123887195"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2013.6706725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2013.6706725","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2013 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://eprints.lib.hokudai.ac.jp/dspace/bitstream/2115/65582/1/ijcnn2013.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100458749","display_name":"Hao Liu","orcid":"https://orcid.org/0000-0001-6728-1773"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hao Liu","raw_affiliation_strings":["Division of Synergetic Information Science, Hokkaido University, Sapporo, Japan","Grad. Sch. of Inf. Sci. & Technol., Hokkaido Univ., Sapporo, Japan"],"affiliations":[{"raw_affiliation_string":"Division of Synergetic Information Science, Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]},{"raw_affiliation_string":"Grad. Sch. of Inf. Sci. & Technol., Hokkaido Univ., Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054412358","display_name":"Masahito Kurihara","orcid":"https://orcid.org/0000-0002-1478-1093"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masahito Kurihara","raw_affiliation_strings":["Division of Synergetic Information Science, Hokkaido University, Sapporo, Japan","Grad. Sch. of Inf. Sci. & Technol., Hokkaido Univ., Sapporo, Japan"],"affiliations":[{"raw_affiliation_string":"Division of Synergetic Information Science, Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]},{"raw_affiliation_string":"Grad. Sch. of Inf. Sci. & Technol., Hokkaido Univ., Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056709028","display_name":"Satoshi Oyama","orcid":"https://orcid.org/0000-0002-8124-3578"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoshi Oyama","raw_affiliation_strings":["Division of Synergetic Information Science, Hokkaido University, Sapporo, Japan","Grad. Sch. of Inf. Sci. & Technol., Hokkaido Univ., Sapporo, Japan"],"affiliations":[{"raw_affiliation_string":"Division of Synergetic Information Science, Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]},{"raw_affiliation_string":"Grad. Sch. of Inf. Sci. & Technol., Hokkaido Univ., Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102940408","display_name":"Haruhiko Sato","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Haruhiko Sato","raw_affiliation_strings":["Division of Synergetic Information Science, Hokkaido University, Sapporo, Japan","Grad. Sch. of Inf. Sci. & Technol., Hokkaido Univ., Sapporo, Japan"],"affiliations":[{"raw_affiliation_string":"Division of Synergetic Information Science, Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]},{"raw_affiliation_string":"Grad. Sch. of Inf. Sci. & Technol., Hokkaido Univ., Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100458749"],"corresponding_institution_ids":["https://openalex.org/I205349734"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1165282,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"104","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9857000112533569,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9656000137329102,"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/hebbian-theory","display_name":"Hebbian theory","score":0.912354588508606},{"id":"https://openalex.org/keywords/competitive-learning","display_name":"Competitive learning","score":0.871096134185791},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7733004689216614},{"id":"https://openalex.org/keywords/neural-gas","display_name":"Neural gas","score":0.6889785528182983},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.6859282851219177},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6790051460266113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6001931428909302},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"Incremental learning","score":0.5279613733291626},{"id":"https://openalex.org/keywords/types-of-artificial-neural-networks","display_name":"Types of artificial neural networks","score":0.5210582613945007},{"id":"https://openalex.org/keywords/self-organizing-map","display_name":"Self-organizing map","score":0.5032932162284851},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4694594442844391},{"id":"https://openalex.org/keywords/leabra","display_name":"Leabra","score":0.4484911561012268},{"id":"https://openalex.org/keywords/self-organization","display_name":"Self-organization","score":0.4391525387763977},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42681941390037537},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.3996274471282959},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3609752953052521},{"id":"https://openalex.org/keywords/wake-sleep-algorithm","display_name":"Wake-sleep algorithm","score":0.21239808201789856}],"concepts":[{"id":"https://openalex.org/C111437709","wikidata":"https://www.wikidata.org/wiki/Q1277874","display_name":"Hebbian theory","level":3,"score":0.912354588508606},{"id":"https://openalex.org/C120822770","wikidata":"https://www.wikidata.org/wiki/Q5156355","display_name":"Competitive learning","level":3,"score":0.871096134185791},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7733004689216614},{"id":"https://openalex.org/C90322556","wikidata":"https://www.wikidata.org/wiki/Q1981169","display_name":"Neural gas","level":4,"score":0.6889785528182983},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.6859282851219177},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6790051460266113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6001931428909302},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.5279613733291626},{"id":"https://openalex.org/C177973122","wikidata":"https://www.wikidata.org/wiki/Q7860946","display_name":"Types of artificial neural networks","level":4,"score":0.5210582613945007},{"id":"https://openalex.org/C111168008","wikidata":"https://www.wikidata.org/wiki/Q1136838","display_name":"Self-organizing map","level":3,"score":0.5032932162284851},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4694594442844391},{"id":"https://openalex.org/C97108695","wikidata":"https://www.wikidata.org/wiki/Q6508265","display_name":"Leabra","level":5,"score":0.4484911561012268},{"id":"https://openalex.org/C106960710","wikidata":"https://www.wikidata.org/wiki/Q609408","display_name":"Self-organization","level":2,"score":0.4391525387763977},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42681941390037537},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.3996274471282959},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3609752953052521},{"id":"https://openalex.org/C17061570","wikidata":"https://www.wikidata.org/wiki/Q7960888","display_name":"Wake-sleep algorithm","level":4,"score":0.21239808201789856},{"id":"https://openalex.org/C117765406","wikidata":"https://www.wikidata.org/wiki/Q5362437","display_name":"Generalization error","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2013.6706725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2013.6706725","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2013 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.lib.hokudai.ac.jp:2115/65582","is_oa":true,"landing_page_url":"http://hdl.handle.net/2115/65582","pdf_url":"https://eprints.lib.hokudai.ac.jp/dspace/bitstream/2115/65582/1/ijcnn2013.pdf","source":{"id":"https://openalex.org/S4306400549","display_name":"Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205349734","host_organization_name":"Hokkaido University","host_organization_lineage":["https://openalex.org/I205349734"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"proceedings (author version)"}],"best_oa_location":{"id":"pmh:oai:eprints.lib.hokudai.ac.jp:2115/65582","is_oa":true,"landing_page_url":"http://hdl.handle.net/2115/65582","pdf_url":"https://eprints.lib.hokudai.ac.jp/dspace/bitstream/2115/65582/1/ijcnn2013.pdf","source":{"id":"https://openalex.org/S4306400549","display_name":"Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205349734","host_organization_name":"Hokkaido University","host_organization_lineage":["https://openalex.org/I205349734"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"proceedings (author version)"},"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2106239457","display_name":null,"funder_award_id":"NCET-10","funder_id":"https://openalex.org/F4320334924","funder_display_name":"Program for New Century Excellent Talents in University"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5514219927","display_name":null,"funder_award_id":"61272357","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7608752429","display_name":null,"funder_award_id":"Talent","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8216025271","display_name":null,"funder_award_id":"NCET-10-0221","funder_id":"https://openalex.org/F4320334924","funder_display_name":"Program for New Century Excellent Talents in University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334924","display_name":"Program for New Century Excellent Talents in University","ror":"https://ror.org/01mv9t934"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2123887195.pdf","grobid_xml":"https://content.openalex.org/works/W2123887195.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W65738273","https://openalex.org/W1526684518","https://openalex.org/W1679913846","https://openalex.org/W1972142489","https://openalex.org/W1979391617","https://openalex.org/W2010150441","https://openalex.org/W2014545696","https://openalex.org/W2047870719","https://openalex.org/W2059148040","https://openalex.org/W2112796159","https://openalex.org/W2120250216","https://openalex.org/W2138754805","https://openalex.org/W2144966878","https://openalex.org/W2146830346","https://openalex.org/W2153233077","https://openalex.org/W2160422165","https://openalex.org/W2166322089","https://openalex.org/W2994602346","https://openalex.org/W3145217144","https://openalex.org/W4245176872","https://openalex.org/W6680294583"],"related_works":["https://openalex.org/W49175182","https://openalex.org/W2590565095","https://openalex.org/W2899454144","https://openalex.org/W2170108436","https://openalex.org/W1615412613","https://openalex.org/W1904807116","https://openalex.org/W2528409211","https://openalex.org/W2123887195","https://openalex.org/W2133377210","https://openalex.org/W1678611306"],"abstract_inverted_index":{"Self-organizing":[0],"neural":[1,60,72],"networks":[2],"are":[3,30],"important":[4],"tools":[5],"for":[6],"realizing":[7],"unsupervised":[8],"learning.":[9],"Recently,":[10],"a":[11,41,56,91,95],"difficult":[12],"task":[13],"has":[14],"involved":[15],"the":[16,27,64,83,102],"incremental,":[17],"efficient":[18],"and":[19,53,88,100],"robust":[20,106],"learning":[21,50],"in":[22,32,78],"noisy":[23,108],"environments.":[24],"Most":[25],"of":[26,98],"existing":[28],"techniques":[29],"poor":[31],"this":[33,36,79],"regard.":[34],"In":[35],"paper,":[37],"we":[38],"first":[39],"propose":[40,55],"new":[42],"topology":[43],"generating":[44],"method":[45],"called":[46,68],"enhanced":[47,65,69],"competitive":[48],"Hebbian":[49],"(enhanced":[51],"CHL),":[52],"then":[54],"novel":[57],"incremental":[58,70],"self-organizing":[59],"network":[61],"based":[62],"on":[63],"CHL":[66],"method,":[67],"growing":[71],"gas":[73],"(Hi-GNG).":[74],"The":[75],"experiments":[76],"presented":[77],"paper":[80],"show":[81],"that":[82,101],"Hi-GNG":[84],"algorithm":[85,104],"can":[86],"automatically":[87],"efficiently":[89],"generate":[90],"topological":[92],"structure":[93],"with":[94],"suitable":[96],"number":[97],"neurons":[99],"proposed":[103],"is":[105],"to":[107],"data.":[109]},"counts_by_year":[],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}