{"id":"https://openalex.org/W2009717078","doi":"https://doi.org/10.1109/ijcnn.2013.6706842","title":"A modified error-correction learning rule for multilayer neural network with multi-valued neurons","display_name":"A modified error-correction learning rule for multilayer neural network with multi-valued neurons","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2009717078","doi":"https://doi.org/10.1109/ijcnn.2013.6706842","mag":"2009717078"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2013.6706842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2013.6706842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2013 International Joint Conference on Neural Networks (IJCNN)","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/A5052101553","display_name":"Igor Aizenberg","orcid":"https://orcid.org/0000-0002-5994-6568"},"institutions":[{"id":"https://openalex.org/I51380931","display_name":"Texas A&M University \u2013 Texarkana","ror":"https://ror.org/01x3z9745","country_code":"US","type":"education","lineage":["https://openalex.org/I51380931"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Igor Aizenberg","raw_affiliation_strings":["Texas A&M University-Texarkana, Texarkana, Texas, USA","Texas A&M University - Texarkana, Texarkana, TX, USA"],"affiliations":[{"raw_affiliation_string":"Texas A&M University-Texarkana, Texarkana, Texas, USA","institution_ids":["https://openalex.org/I51380931"]},{"raw_affiliation_string":"Texas A&M University - Texarkana, Texarkana, TX, USA","institution_ids":["https://openalex.org/I51380931"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5052101553"],"corresponding_institution_ids":["https://openalex.org/I51380931"],"apc_list":null,"apc_paid":null,"fwci":0.9499,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.81562969,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"12","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T10057","display_name":"Face and Expression Recognition","score":0.9865999817848206,"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"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9743000268936157,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/learning-rule","display_name":"Learning rule","score":0.7056511044502258},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.686468780040741},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.6350756883621216},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6334306597709656},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5455685257911682},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5200390815734863},{"id":"https://openalex.org/keywords/activation-function","display_name":"Activation function","score":0.4982154369354248},{"id":"https://openalex.org/keywords/error-function","display_name":"Error function","score":0.4788644015789032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4643922448158264},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4534362554550171}],"concepts":[{"id":"https://openalex.org/C2779127903","wikidata":"https://www.wikidata.org/wiki/Q6510194","display_name":"Learning rule","level":3,"score":0.7056511044502258},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.686468780040741},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.6350756883621216},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6334306597709656},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5455685257911682},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5200390815734863},{"id":"https://openalex.org/C38365724","wikidata":"https://www.wikidata.org/wiki/Q4677469","display_name":"Activation function","level":3,"score":0.4982154369354248},{"id":"https://openalex.org/C202286095","wikidata":"https://www.wikidata.org/wiki/Q579262","display_name":"Error function","level":2,"score":0.4788644015789032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4643922448158264},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4534362554550171},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2013.6706842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2013.6706842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2013 International Joint Conference on Neural Networks (IJCNN)","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":23,"referenced_works":["https://openalex.org/W118053813","https://openalex.org/W142384176","https://openalex.org/W639538290","https://openalex.org/W1546029411","https://openalex.org/W1585539754","https://openalex.org/W1594058661","https://openalex.org/W1894035673","https://openalex.org/W2047515252","https://openalex.org/W2103148644","https://openalex.org/W2105050785","https://openalex.org/W2119821739","https://openalex.org/W2126944419","https://openalex.org/W2132048588","https://openalex.org/W2136892987","https://openalex.org/W2141767983","https://openalex.org/W2146287682","https://openalex.org/W2156909104","https://openalex.org/W2161694749","https://openalex.org/W2161780063","https://openalex.org/W2476841360","https://openalex.org/W2487295360","https://openalex.org/W3120740533","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W2998088892","https://openalex.org/W2014323024","https://openalex.org/W1943918598","https://openalex.org/W2971145620","https://openalex.org/W2540179461","https://openalex.org/W2096285364","https://openalex.org/W2133890039","https://openalex.org/W2086501033","https://openalex.org/W2944425345","https://openalex.org/W2111221339"],"abstract_inverted_index":{"In":[0],"this":[1,175],"paper,":[2],"we":[3],"consider":[4],"a":[5,21,25,38,54,71,104,122,144,165,169],"modified":[6],"error-correction":[7,61,99],"learning":[8,56,62,100,108],"rule":[9,101],"for":[10,88],"the":[11,32,49,60,97,107,119,130,155,158,162],"multilayer":[12],"neural":[13,22],"network":[14,23],"with":[15,24,40],"multi-valued":[16,33],"neurons":[17],"(MLMVN).":[18],"MLMVN":[19,52,98],"is":[20,37,93,152,172],"standard":[26],"feedforward":[27],"organization,":[28],"but":[29],"based":[30,58,146],"on":[31,48,59,147],"neuron":[34,39],"(MVN).":[35],"MVN":[36,67],"complex-valued":[41],"weights":[42],"and":[43,85,128,168],"inputs/output,":[44],"which":[45,151],"are":[46],"located":[47,135],"unit":[50],"circle.":[51],"has":[53],"derivative-free":[55],"algorithm":[57],"rule.":[63],"The":[64],"discrete":[65],"k-valued":[66],"activation":[68],"function":[69],"divides":[70],"complex":[72],"plane":[73],"into":[74],"k":[75],"equal":[76],"sectors.":[77],"To":[78],"be":[79,116,134],"able":[80],"to":[81,95,111,154],"get":[82],"more":[83],"reliable":[84],"efficient":[86],"solutions":[87],"various":[89],"classification":[90],"problems,":[91],"it":[92],"possible":[94,139],"modify":[96],"in":[102,174],"such":[103],"way":[105],"that":[106],"samples":[109],"belonging":[110],"different":[112],"classes":[113],"(clusters)":[114],"will":[115,133],"concentrated":[117],"along":[118],"bisector":[120,163],"of":[121,157,164],"desired":[123,166],"sector":[124,167],"(the":[125],"cluster":[126],"center)":[127],"at":[129],"same":[131],"time":[132],"as":[136,138],"far":[137],"from":[140],"each":[141],"other.":[142],"Such":[143],"modification":[145],"soft":[148],"margins":[149],"learning,":[150],"reduced":[153],"minimization":[156],"angular":[159],"distance":[160],"between":[161],"weighted":[170],"sum,":[171],"considered":[173],"paper.":[176]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
