{"id":"https://openalex.org/W2125200922","doi":"https://doi.org/10.1109/ijcnn.2003.1223366","title":"A fuzzy autoassociative morphological memory","display_name":"A fuzzy autoassociative morphological memory","publication_year":2004,"publication_date":"2004-03-02","ids":{"openalex":"https://openalex.org/W2125200922","doi":"https://doi.org/10.1109/ijcnn.2003.1223366","mag":"2125200922"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2003.1223366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223366","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/A5078829305","display_name":"Peter Sussner","orcid":"https://orcid.org/0000-0002-8457-7127"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"P. Sussner","raw_affiliation_strings":["Institute of Mathematics, Statistics, and Scientific Computation, State University of Campinas, Sao Paulo, Brazil","Inst. of Math., Stat. & Sci. Comput., Univ. Estadual de Campinas, Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Mathematics, Statistics, and Scientific Computation, State University of Campinas, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I181391015"]},{"raw_affiliation_string":"Inst. of Math., Stat. & Sci. Comput., Univ. Estadual de Campinas, Brazil","institution_ids":["https://openalex.org/I181391015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5078829305"],"corresponding_institution_ids":["https://openalex.org/I181391015"],"apc_list":null,"apc_paid":null,"fwci":1.3491,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.85143987,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"326","last_page":"331"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9991999864578247,"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":0.9991999864578247,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9901000261306763,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.944599986076355,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/fuzzy-logic","display_name":"Fuzzy logic","score":0.6218463778495789},{"id":"https://openalex.org/keywords/mathematical-morphology","display_name":"Mathematical morphology","score":0.6036144495010376},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.570888876914978},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5269128680229187},{"id":"https://openalex.org/keywords/dilation","display_name":"Dilation (metric space)","score":0.5161353349685669},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.49921345710754395},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.49399834871292114},{"id":"https://openalex.org/keywords/content-addressable-memory","display_name":"Content-addressable memory","score":0.4930112063884735},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47414013743400574},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.42210423946380615},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3694910407066345},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3494826555252075},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33806583285331726},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.28753936290740967},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.16696861386299133},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0882178544998169}],"concepts":[{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6218463778495789},{"id":"https://openalex.org/C185568154","wikidata":"https://www.wikidata.org/wiki/Q530242","display_name":"Mathematical morphology","level":4,"score":0.6036144495010376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.570888876914978},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5269128680229187},{"id":"https://openalex.org/C2780757906","wikidata":"https://www.wikidata.org/wiki/Q5276676","display_name":"Dilation (metric space)","level":2,"score":0.5161353349685669},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.49921345710754395},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.49399834871292114},{"id":"https://openalex.org/C53442348","wikidata":"https://www.wikidata.org/wiki/Q745101","display_name":"Content-addressable memory","level":3,"score":0.4930112063884735},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47414013743400574},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.42210423946380615},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3694910407066345},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3494826555252075},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33806583285331726},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.28753936290740967},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.16696861386299133},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0882178544998169},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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.2003.1223366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223366","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W119140945","https://openalex.org/W189069394","https://openalex.org/W1013078494","https://openalex.org/W1590218343","https://openalex.org/W1601763377","https://openalex.org/W1658994590","https://openalex.org/W1866834463","https://openalex.org/W1966639131","https://openalex.org/W1984431842","https://openalex.org/W2011487458","https://openalex.org/W2012656872","https://openalex.org/W2017656802","https://openalex.org/W2024879722","https://openalex.org/W2033994334","https://openalex.org/W2036918153","https://openalex.org/W2057529293","https://openalex.org/W2062517613","https://openalex.org/W2064160177","https://openalex.org/W2070645442","https://openalex.org/W2073074703","https://openalex.org/W2074003034","https://openalex.org/W2075210427","https://openalex.org/W2075380850","https://openalex.org/W2095425517","https://openalex.org/W2107305286","https://openalex.org/W2116379401","https://openalex.org/W2120524141","https://openalex.org/W2128084896","https://openalex.org/W2129217160","https://openalex.org/W2145889797","https://openalex.org/W2152038527","https://openalex.org/W2156646298","https://openalex.org/W2161107984","https://openalex.org/W2163653429","https://openalex.org/W2168379169","https://openalex.org/W2169868723","https://openalex.org/W2746933270","https://openalex.org/W2912565176","https://openalex.org/W4211007335","https://openalex.org/W6604894553","https://openalex.org/W6677784307"],"related_works":["https://openalex.org/W2429125578","https://openalex.org/W2160935107","https://openalex.org/W2109932938","https://openalex.org/W2144541549","https://openalex.org/W2604155019","https://openalex.org/W4298005417","https://openalex.org/W2350127111","https://openalex.org/W4252710998","https://openalex.org/W2892082603","https://openalex.org/W2349950585"],"abstract_inverted_index":{"Morphological":[0],"associative":[1],"memories":[2],"are":[3],"among":[4],"several":[5],"types":[6],"of":[7,19,32,36,66,142],"morphological":[8,29,89,145],"neural":[9,25],"network":[10,26],"models":[11],"which":[12],"have":[13],"been":[14],"proposed":[15],"over":[16],"the":[17,20,33,63,77,94,138],"course":[18],"last":[21],"few":[22],"years.":[23],"A":[24,122],"is":[27,44],"called":[28],"if":[30],"one":[31],"fundamental":[34],"operations":[35,50,78,96,99],"mathematical":[37,64],"morphology,":[38],"a":[39,55,59,111],"dilation":[40],"or":[41,58],"an":[42],"erosion,":[43],"performed":[45],"at":[46],"each":[47],"node.":[48],"These":[49],"can":[51,125],"be":[52,126],"expressed":[53],"as":[54,84],"max":[56,101],"product":[57,61],"min":[60,105],"in":[62,86,107],"theory":[65,74],"minimax":[67],"algebra.":[68],"This":[69,133],"paper":[70],"employs":[71],"fuzzy":[72,112,119],"set":[73],"to":[75,128],"generalize":[76],"\"max":[79],"product\"":[80,83,102,106],"and":[81,103,118],"\"min":[82],"used":[85],"binary":[87,143],"autoassociative":[88,144],"memory":[90],"(AMM)":[91],"models.":[92],"Replacing":[93],"original":[95],"by":[97],"new":[98,134],"\"fuzzy":[100,104],"this":[108],"setting":[109],"yields":[110],"AMM":[113],"with":[114],"crisp":[115,130],"input":[116],"patterns":[117],"output":[120,131],"patterns.":[121,132],"thresholding":[123],"procedure":[124],"applied":[127],"obtain":[129],"approach":[135],"significantly":[136],"improves":[137],"error":[139],"correction":[140],"capability":[141],"memories.":[146]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}