{"id":"https://openalex.org/W2059540423","doi":"https://doi.org/10.1109/ijcnn.2012.6252785","title":"A weighting approach for autoassociative memories to improve accuracy in memorization","display_name":"A weighting approach for autoassociative memories to improve accuracy in memorization","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2059540423","doi":"https://doi.org/10.1109/ijcnn.2012.6252785","mag":"2059540423"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2012.6252785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2012.6252785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2012 International Joint Conference on Neural Networks (IJCNN)","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/A5112086257","display_name":"Kazuaki Masuda","orcid":null},"institutions":[{"id":"https://openalex.org/I41802502","display_name":"Kanagawa University","ror":"https://ror.org/02j6c0d67","country_code":"JP","type":"education","lineage":["https://openalex.org/I41802502"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuaki Masuda","raw_affiliation_strings":["Faculty of Engineering, Kanagawa University, Yokohama, Kanagawa, Japan","Faculty of Engineering, Kanagawa University, 3-27-1 Rokkakubashi, Yokohama, 221-8686 Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Kanagawa University, Yokohama, Kanagawa, Japan","institution_ids":["https://openalex.org/I41802502"]},{"raw_affiliation_string":"Faculty of Engineering, Kanagawa University, 3-27-1 Rokkakubashi, Yokohama, 221-8686 Japan","institution_ids":["https://openalex.org/I41802502"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028056636","display_name":"Bunpei Fukui","orcid":null},"institutions":[{"id":"https://openalex.org/I41802502","display_name":"Kanagawa University","ror":"https://ror.org/02j6c0d67","country_code":"JP","type":"education","lineage":["https://openalex.org/I41802502"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Bunpei Fukui","raw_affiliation_strings":["Graduate School of Engineering, Kanagawa University, Yokohama, Kanagawa, Japan","Graduate School of Engineering, Kanagawa University, 3-27-1 Rokkakubashi, Yokohama, 221-8686 Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Kanagawa University, Yokohama, Kanagawa, Japan","institution_ids":["https://openalex.org/I41802502"]},{"raw_affiliation_string":"Graduate School of Engineering, Kanagawa University, 3-27-1 Rokkakubashi, Yokohama, 221-8686 Japan","institution_ids":["https://openalex.org/I41802502"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110185419","display_name":"Kenzo Kurihara","orcid":null},"institutions":[{"id":"https://openalex.org/I41802502","display_name":"Kanagawa University","ror":"https://ror.org/02j6c0d67","country_code":"JP","type":"education","lineage":["https://openalex.org/I41802502"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenzo Kurihara","raw_affiliation_strings":["Faculty of Engineering, Kanagawa University, Yokohama, Kanagawa, Japan","Faculty of Engineering, Kanagawa University, 3-27-1 Rokkakubashi, Yokohama, 221-8686 Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Kanagawa University, Yokohama, Kanagawa, Japan","institution_ids":["https://openalex.org/I41802502"]},{"raw_affiliation_string":"Faculty of Engineering, Kanagawa University, 3-27-1 Rokkakubashi, Yokohama, 221-8686 Japan","institution_ids":["https://openalex.org/I41802502"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I41802502"],"apc_list":null,"apc_paid":null,"fwci":0.7805,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69693682,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.996999979019165,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/memorization","display_name":"Memorization","score":0.9044522047042847},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.7926113605499268},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7786141037940979},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5551742911338806},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4171200692653656},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.17012110352516174},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13769114017486572}],"concepts":[{"id":"https://openalex.org/C30038468","wikidata":"https://www.wikidata.org/wiki/Q4354775","display_name":"Memorization","level":2,"score":0.9044522047042847},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7926113605499268},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7786141037940979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5551742911338806},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4171200692653656},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.17012110352516174},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13769114017486572},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2012.6252785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2012.6252785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2012 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W88754628","https://openalex.org/W1690772699","https://openalex.org/W2075210427","https://openalex.org/W2075380850","https://openalex.org/W2128084896","https://openalex.org/W2129217160","https://openalex.org/W3151270013","https://openalex.org/W6637364794"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W2059540423","https://openalex.org/W4224009465","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W3046775127","https://openalex.org/W4200618453","https://openalex.org/W4205958290","https://openalex.org/W2519422835"],"abstract_inverted_index":{"An":[0],"autoassociative":[1,35],"memory":[2,19],"can":[3,20,121,130],"store":[4],"multiple":[5],"information":[6,15,25,45],"in":[7,30,51,61,72,96,102,124],"a":[8,39,52,74,89,106,125,135],"neural":[9,55],"network,":[10],"and":[11],"if":[12],"some":[13,43],"distorted":[14],"is":[16,38],"presented,":[17],"the":[18,22,27,34,65,79,82,86,100,110,115,118,145,151,154],"retrieve":[21],"most":[23],"likely":[24],"from":[26],"network.":[28],"However,":[29],"mathematical":[31,75],"models":[32],"of":[33,67,81,91,117,143,153],"memory,":[36],"it":[37],"significant":[40],"problem":[41],"that":[42,114],"given":[44,146],"may":[46],"not":[47],"be":[48,122,131],"stored":[49],"correctly":[50],"recurrent":[53],"artificial":[54],"network":[56],"(ANN).":[57],"In":[58],"this":[59],"paper,":[60],"order":[62,97],"to":[63,98,139],"investigate":[64],"cause":[66],"errors":[68],"with":[69],"memorization":[70,111,142],"rules":[71,112],"such":[73],"model,":[76],"we":[77,104],"understand":[78],"structure":[80,116],"energy":[83,119],"function":[84,120],"for":[85,109],"ANN":[87],"as":[88],"sum":[90],"elemental":[92],"quadratic":[93],"functions.":[94],"Then,":[95],"improve":[99],"accuracy":[101],"memorization,":[103],"propose":[105],"weighting":[107,155],"approach":[108],"so":[113],"altered":[123],"desirable":[126],"manner.":[127],"The":[128],"weights":[129],"determined":[132],"by":[133],"solving":[134],"theoretically-derived":[136],"linear":[137],"program":[138],"guarantee":[140],"perfect":[141],"all":[144],"information.":[147],"Numerical":[148],"examples":[149],"demonstrate":[150],"effectiveness":[152],"approach.":[156]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"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"}