{"id":"https://openalex.org/W1906831140","doi":"https://doi.org/10.1109/iscas.2002.1009919","title":"Improvement of pattern learning and recognition capability in ratio-memory cellular neural networks with non-discrete-type Hebbian learning algorithm","display_name":"Improvement of pattern learning and recognition capability in ratio-memory cellular neural networks with non-discrete-type Hebbian learning algorithm","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W1906831140","doi":"https://doi.org/10.1109/iscas.2002.1009919","mag":"1906831140"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2002.1009919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5105420371","display_name":"Chung-Yu Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"funder","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"None Chung-Yu Wu","raw_affiliation_strings":["Dept. of Electron. Eng, Nat. Chiao Tung Univ, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Dept. of Electron. Eng, Nat. Chiao Tung Univ, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081314212","display_name":"Jui\u2010Lin Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"funder","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"None Jui-Lin Lai","raw_affiliation_strings":["Dept. of Electron. Eng, Nat. Chiao Tung Univ, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Dept. of Electron. Eng, Nat. Chiao Tung Univ, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.631,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":5,"citation_normalized_percentile":{"value":0.620933,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":74,"max":76},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11347","display_name":"Neural Networks Stability and Synchronization","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11347","display_name":"Neural Networks Stability and Synchronization","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9977,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9955,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hebbian-theory","display_name":"Hebbian theory","score":0.8650826},{"id":"https://openalex.org/keywords/leabra","display_name":"Leabra","score":0.6937062},{"id":"https://openalex.org/keywords/competitive-learning","display_name":"Competitive learning","score":0.5430554},{"id":"https://openalex.org/keywords/content-addressable-storage","display_name":"Content-addressable storage","score":0.4464629}],"concepts":[{"id":"https://openalex.org/C111437709","wikidata":"https://www.wikidata.org/wiki/Q1277874","display_name":"Hebbian theory","level":3,"score":0.8650826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.72786343},{"id":"https://openalex.org/C97108695","wikidata":"https://www.wikidata.org/wiki/Q6508265","display_name":"Leabra","level":5,"score":0.6937062},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.60119665},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5961769},{"id":"https://openalex.org/C53442348","wikidata":"https://www.wikidata.org/wiki/Q745101","display_name":"Content-addressable memory","level":3,"score":0.58985734},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5744211},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.56288433},{"id":"https://openalex.org/C120822770","wikidata":"https://www.wikidata.org/wiki/Q5156355","display_name":"Competitive learning","level":3,"score":0.5430554},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.48134074},{"id":"https://openalex.org/C2778618852","wikidata":"https://www.wikidata.org/wiki/Q1128613","display_name":"Content-addressable storage","level":4,"score":0.4464629},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4120969},{"id":"https://openalex.org/C17061570","wikidata":"https://www.wikidata.org/wiki/Q7960888","display_name":"Wake-sleep algorithm","level":4,"score":0.24925002},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16925338},{"id":"https://openalex.org/C117765406","wikidata":"https://www.wikidata.org/wiki/Q5362437","display_name":"Generalization error","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2002.1009919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality education","score":0.45}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":6,"referenced_works":["https://openalex.org/W1531857721","https://openalex.org/W2056717940","https://openalex.org/W2114109843","https://openalex.org/W2160121923","https://openalex.org/W2249846468","https://openalex.org/W4247346963"],"related_works":["https://openalex.org/W49175182","https://openalex.org/W4242980369","https://openalex.org/W4210762357","https://openalex.org/W2899454144","https://openalex.org/W2590565095","https://openalex.org/W2159992686","https://openalex.org/W2106485397","https://openalex.org/W2096905040","https://openalex.org/W1950019275","https://openalex.org/W1618190107"],"abstract_inverted_index":{"A":[0,27,50,133],"ratio-memory":[1],"cellular":[2],"neural":[3],"networks":[4],"(RMCNN)":[5],"with":[6,29,67,86,104,122],"non-discrete-type":[7,40,124],"Hebbian":[8,41,125],"learning":[9,42,46,126,146],"algorithm":[10,43,127],"to":[11,62,112],"learn":[12,99,136],"and":[13,19,72,128,137,147],"recognize":[14,63,100,138],"image":[15],"patterns":[16,37,66,103],"is":[17,90],"proposed":[18,23,81,120,151],"analyzed.":[20],"In":[21],"the":[22,25,35,39,45,54,60,64,74,80,93,119,132,150],"RMCNN,":[24],"space-variant":[26],"templates":[28,51],"self-feedback":[30],"coefficients":[31,130],"are":[32,57],"determined":[33,49],"from":[34],"trained":[36],"using":[38],"during":[44],"period.":[47],"The":[48,77],"stored":[52],"in":[53,59,131,157],"ratio":[55],"memory":[56],"used":[58],"RMCNN":[61,82,96,121,152],"learned":[65],"different":[68],"Gaussian":[69,105],"noise":[70,106],"levels":[71],"output":[73],"correct":[75],"patterns.":[76,141],"operation":[78],"of":[79,108],"has":[83],"been":[84],"simulated":[85],"Matlab":[87],"software.":[88],"It":[89],"shown":[91],"that":[92],"9/spl":[94],"times/9":[95],"can":[97,135,154],"successfully":[98],"23":[101],"noisy":[102],"variance":[107],"0.3.":[109],"As":[110],"compared":[111],"other":[113],"learnable":[114],"CNNs":[115],"as":[116],"associative":[117],"memories,":[118],"a":[123],"5":[129],"template":[134],"many":[139],"more":[140],"With":[142],"an":[143],"improved":[144],"pattern":[145],"recognition":[148],"capability,":[149],"still":[153],"be":[155],"implemented":[156],"VLSI":[158],"for":[159],"various":[160],"applications.":[161]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1906831140","counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-03-18T21:47:35.130552","created_date":"2016-06-24"}