{"id":"https://openalex.org/W2044730254","doi":"https://doi.org/10.1109/ijcnn.2007.4371028","title":"Associative Memory for Online Incremental Learning in Noisy Environments","display_name":"Associative Memory for Online Incremental Learning in Noisy Environments","publication_year":2007,"publication_date":"2007-08-01","ids":{"openalex":"https://openalex.org/W2044730254","doi":"https://doi.org/10.1109/ijcnn.2007.4371028","mag":"2044730254"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2007.4371028","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371028","pdf_url":null,"source":{"id":"https://openalex.org/S4210195743","display_name":"IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks","issn_l":"1098-7576","issn":["1098-7576","1558-3902"],"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 International Joint Conference on Neural Networks","raw_type":"proceedings-article"},"type":"conference-paper","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/A5034166952","display_name":"Akihito Sudo","orcid":null},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akihito Sudo","raw_affiliation_strings":["Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Yokohama, Japan","Tokyo Inst. of Technol., Yokohama#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Yokohama, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Tokyo Inst. of Technol., Yokohama#TAB#","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064941052","display_name":"Akihiro Sato","orcid":"https://orcid.org/0000-0002-0049-6718"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akihiro Sato","raw_affiliation_strings":["Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Yokohama, Japan","Tokyo Inst. of Technol., Yokohama#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Yokohama, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Tokyo Inst. of Technol., Yokohama#TAB#","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113788579","display_name":"Osamu Hasegawa","orcid":null},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Osamu Hasegawa","raw_affiliation_strings":["Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Yokohama, Japan","Tokyo Inst. of Technol., Yokohama#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Yokohama, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Tokyo Inst. of Technol., Yokohama#TAB#","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114531698"],"apc_list":null,"apc_paid":null,"fwci":1.1128,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.77606226,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"619","last_page":"624"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9886999726295471,"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":0.9886999726295471,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9886000156402588,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9850999712944031,"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/computer-science","display_name":"Computer science","score":0.8195514678955078},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.8184370994567871},{"id":"https://openalex.org/keywords/content-addressable-memory","display_name":"Content-addressable memory","score":0.7679591178894043},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.714836835861206},{"id":"https://openalex.org/keywords/bidirectional-associative-memory","display_name":"Bidirectional associative memory","score":0.6805366277694702},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6782543063163757},{"id":"https://openalex.org/keywords/content-addressable-storage","display_name":"Content-addressable storage","score":0.6035277843475342},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5343310832977295},{"id":"https://openalex.org/keywords/memory-map","display_name":"Memory map","score":0.4387718141078949},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3289880156517029},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.32797491550445557},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.09052848815917969},{"id":"https://openalex.org/keywords/shared-memory","display_name":"Shared memory","score":0.0854438841342926}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8195514678955078},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.8184370994567871},{"id":"https://openalex.org/C53442348","wikidata":"https://www.wikidata.org/wiki/Q745101","display_name":"Content-addressable memory","level":3,"score":0.7679591178894043},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.714836835861206},{"id":"https://openalex.org/C120620853","wikidata":"https://www.wikidata.org/wiki/Q506355","display_name":"Bidirectional associative memory","level":4,"score":0.6805366277694702},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6782543063163757},{"id":"https://openalex.org/C2778618852","wikidata":"https://www.wikidata.org/wiki/Q1128613","display_name":"Content-addressable storage","level":4,"score":0.6035277843475342},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5343310832977295},{"id":"https://openalex.org/C74426580","wikidata":"https://www.wikidata.org/wiki/Q719484","display_name":"Memory map","level":3,"score":0.4387718141078949},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3289880156517029},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.32797491550445557},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.09052848815917969},{"id":"https://openalex.org/C133875982","wikidata":"https://www.wikidata.org/wiki/Q764810","display_name":"Shared memory","level":2,"score":0.0854438841342926},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2007.4371028","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371028","pdf_url":null,"source":{"id":"https://openalex.org/S4210195743","display_name":"IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks","issn_l":"1098-7576","issn":["1098-7576","1558-3902"],"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 International Joint Conference on Neural Networks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1500476957","https://openalex.org/W1562559385","https://openalex.org/W1942569918","https://openalex.org/W1987159670","https://openalex.org/W1990517717","https://openalex.org/W1993972960","https://openalex.org/W2095425517","https://openalex.org/W2101687188","https://openalex.org/W2115394511","https://openalex.org/W2120250216","https://openalex.org/W2128084896","https://openalex.org/W2146042914","https://openalex.org/W2146175204","https://openalex.org/W2153342234","https://openalex.org/W2162108037","https://openalex.org/W2282880711","https://openalex.org/W2549584370","https://openalex.org/W4285719527","https://openalex.org/W6633630283","https://openalex.org/W6681248611","https://openalex.org/W6695745367","https://openalex.org/W6729402716"],"related_works":["https://openalex.org/W4321273133","https://openalex.org/W2150103174","https://openalex.org/W2050720944","https://openalex.org/W1987836535","https://openalex.org/W1536116856","https://openalex.org/W1521642090","https://openalex.org/W2158622082","https://openalex.org/W1517412873","https://openalex.org/W1485683306","https://openalex.org/W2769111744"],"abstract_inverted_index":{"Associative":[0],"memory":[1,36,62,81,116,124,133],"operating":[2,160],"in":[3,27,84,161],"a":[4,28,33,127,162],"real":[5,29,163],"environment":[6,86],"must":[7],"perform":[8],"well":[9],"on":[10],"online":[11],"incremental":[12],"learning":[13,71],"and":[14,134],"be":[15,53,95],"robust":[16],"to":[17,94,156],"noisy":[18,21],"data":[19],"because":[20],"associative":[22,35,46,92,115,123,132],"patterns":[23],"are":[24,49,152],"presented":[25,50,96],"sequentially":[26,51],"environment.":[30,164],"We":[31,145],"propose":[32],"novel":[34],"that":[37,48,147],"satisfies":[38],"these":[39],"needs.":[40],"Using":[41],"the":[42,65,88,148],"proposed":[43,66,102,122,149],"method,":[44],"new":[45],"pairs":[47,93],"can":[52],"learned":[54,59],"accurately":[55],"without":[56],"forgetting":[57],"previously":[58],"patterns.":[60,72],"The":[61,101,121],"size":[63],"of":[64,80,91,108],"method":[67,103],"increases":[68],"adaptively":[69],"when":[70],"Therefore,":[73],"it":[74],"suffers":[75],"neither":[76],"redundancy":[77],"nor":[78],"insufficiency":[79],"size,":[82],"even":[83],"an":[85,157],"where":[87],"maximum":[89],"number":[90],"is":[97],"unknown":[98],"before":[99],"learning.":[100],"deals":[104,117,135],"with":[105,118,138],"two":[106],"types":[107],"noise.":[109],"To":[110],"our":[111],"knowledge,":[112],"no":[113],"conventional":[114],"both":[119],"types.":[120],"performs":[125],"as":[126],"bidirectional":[128],"one-to-many":[129],"or":[130],"many-to-one":[131],"not":[136],"only":[137],"bipolar":[139],"data,":[140],"but":[141],"also":[142],"real-valued":[143],"data.":[144],"infer":[146],"method's":[150],"features":[151],"important":[153],"for":[154],"application":[155],"intelligent":[158],"robot":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
