{"id":"https://openalex.org/W2475523075","doi":"https://doi.org/10.1109/ijcnn.2004.1380049","title":"Chaos associative memory model","display_name":"Chaos associative memory model","publication_year":2005,"publication_date":"2005-04-05","ids":{"openalex":"https://openalex.org/W2475523075","doi":"https://doi.org/10.1109/ijcnn.2004.1380049","mag":"2475523075"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2004.1380049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1380049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)","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/A5050909216","display_name":"Masahiro Nakagawa","orcid":"https://orcid.org/0000-0002-6420-2555"},"institutions":[{"id":"https://openalex.org/I85922643","display_name":"Nagaoka University of Technology","ror":"https://ror.org/00ys1hz88","country_code":"JP","type":"education","lineage":["https://openalex.org/I85922643"]},{"id":"https://openalex.org/I119806805","display_name":"Nagaoka University","ror":"https://ror.org/02rcadd38","country_code":"JP","type":"education","lineage":["https://openalex.org/I119806805"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"M. Nakagawa","raw_affiliation_strings":["Nagaoka University of Technology, Nagaoka, Niigata, Japan"],"affiliations":[{"raw_affiliation_string":"Nagaoka University of Technology, Nagaoka, Niigata, Japan","institution_ids":["https://openalex.org/I119806805","https://openalex.org/I85922643"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5050909216"],"corresponding_institution_ids":["https://openalex.org/I119806805","https://openalex.org/I85922643"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37937533,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"897","last_page":"902"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9991000294685364,"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":0.9991000294685364,"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/T10581","display_name":"Neural dynamics and brain function","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10244","display_name":"Chaos control and synchronization","score":0.9807000160217285,"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/chaotic","display_name":"Chaotic","score":0.8059637546539307},{"id":"https://openalex.org/keywords/activation-function","display_name":"Activation function","score":0.7624012231826782},{"id":"https://openalex.org/keywords/content-addressable-memory","display_name":"Content-addressable memory","score":0.7591959238052368},{"id":"https://openalex.org/keywords/bidirectional-associative-memory","display_name":"Bidirectional associative memory","score":0.7074275612831116},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.649517834186554},{"id":"https://openalex.org/keywords/sigmoid-function","display_name":"Sigmoid function","score":0.633346676826477},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5633873343467712},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.5480681657791138},{"id":"https://openalex.org/keywords/content-addressable-storage","display_name":"Content-addressable storage","score":0.5373965501785278},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4784529209136963},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.4424278140068054},{"id":"https://openalex.org/keywords/transient","display_name":"Transient (computer programming)","score":0.42502644658088684},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32443898916244507},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.32315313816070557}],"concepts":[{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.8059637546539307},{"id":"https://openalex.org/C38365724","wikidata":"https://www.wikidata.org/wiki/Q4677469","display_name":"Activation function","level":3,"score":0.7624012231826782},{"id":"https://openalex.org/C53442348","wikidata":"https://www.wikidata.org/wiki/Q745101","display_name":"Content-addressable memory","level":3,"score":0.7591959238052368},{"id":"https://openalex.org/C120620853","wikidata":"https://www.wikidata.org/wiki/Q506355","display_name":"Bidirectional associative memory","level":4,"score":0.7074275612831116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.649517834186554},{"id":"https://openalex.org/C81388566","wikidata":"https://www.wikidata.org/wiki/Q526668","display_name":"Sigmoid function","level":3,"score":0.633346676826477},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5633873343467712},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5480681657791138},{"id":"https://openalex.org/C2778618852","wikidata":"https://www.wikidata.org/wiki/Q1128613","display_name":"Content-addressable storage","level":4,"score":0.5373965501785278},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4784529209136963},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.4424278140068054},{"id":"https://openalex.org/C2780799671","wikidata":"https://www.wikidata.org/wiki/Q17087362","display_name":"Transient (computer programming)","level":2,"score":0.42502644658088684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32443898916244507},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.32315313816070557},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2004.1380049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1380049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1487943046","https://openalex.org/W1980359189","https://openalex.org/W2020731033","https://openalex.org/W2067301925","https://openalex.org/W2075685687","https://openalex.org/W2082205496","https://openalex.org/W2091927921","https://openalex.org/W2095434569","https://openalex.org/W2113740305","https://openalex.org/W2129371115","https://openalex.org/W2137999673","https://openalex.org/W2486414525","https://openalex.org/W4292880809"],"related_works":["https://openalex.org/W4321273133","https://openalex.org/W2137740981","https://openalex.org/W2050720944","https://openalex.org/W1987836535","https://openalex.org/W1965081601","https://openalex.org/W1536116856","https://openalex.org/W2104835989","https://openalex.org/W2158622082","https://openalex.org/W1517412873","https://openalex.org/W2475523075"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"propose":[4],"a":[5,27,34,55,65,88],"chaos":[6],"dynamic":[7,101],"memory":[8],"model":[9,20],"applied":[10],"to":[11,32,76],"the":[12,41,50,60,79,82,92,97,100],"chaotic":[13,36,89],"autoassociation":[14],"memory.":[15],"The":[16],"present":[17,51],"artificial":[18],"neuron":[19],"is":[21,47,74],"properly":[22],"characterized":[23],"in":[24],"terms":[25],"of":[26,81,91,99],"time-dependent":[28],"sinusoidal":[29],"activation":[30,67],"function":[31,68],"involve":[33],"transient":[35],"dynamics":[37],"as":[38,40,69,94,96],"well":[39,95],"energy":[42],"steepest":[43],"descent":[44],"strategy.":[45],"It":[46],"elucidated":[48],"that":[49],"neural":[52],"network":[53],"has":[54],"remarkable":[56],"retrieval":[57],"ability":[58],"beyond":[59],"conventional":[61],"models":[62],"with":[63,87],"such":[64],"monotonous":[66],"sigmoidal":[70],"one.":[71],"This":[72],"advantage":[73],"found":[75],"result":[77],"from":[78],"property":[80],"analogue":[83],"periodic":[84],"mapping":[85],"accompanied":[86],"behaviour":[90],"neurons":[93],"symmetry":[98],"equation.":[102]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}