{"id":"https://openalex.org/W2096868523","doi":"https://doi.org/10.1109/ijcnn.2004.1379895","title":"Simple algorithm for recurrent neural networks that can learn sequence completion","display_name":"Simple algorithm for recurrent neural networks that can learn sequence completion","publication_year":2005,"publication_date":"2005-02-22","ids":{"openalex":"https://openalex.org/W2096868523","doi":"https://doi.org/10.1109/ijcnn.2004.1379895","mag":"2096868523"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2004.1379895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1379895","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":"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/A5053869649","display_name":"Istv\u00e1n Szita","orcid":null},"institutions":[{"id":"https://openalex.org/I106118109","display_name":"E\u00f6tv\u00f6s Lor\u00e1nd University","ror":"https://ror.org/01jsq2704","country_code":"HU","type":"education","lineage":["https://openalex.org/I106118109"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"I. Szita","raw_affiliation_strings":["Department of Information Systems, E\u00f6tv\u00f6s Lonr\u00e1nd University, Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Systems, E\u00f6tv\u00f6s Lonr\u00e1nd University, Budapest, Hungary","institution_ids":["https://openalex.org/I106118109"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066832439","display_name":"Andr\u00e1s L\u00f6rincz","orcid":"https://orcid.org/0000-0002-1280-3447"},"institutions":[{"id":"https://openalex.org/I106118109","display_name":"E\u00f6tv\u00f6s Lor\u00e1nd University","ror":"https://ror.org/01jsq2704","country_code":"HU","type":"education","lineage":["https://openalex.org/I106118109"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"A. Lorincz","raw_affiliation_strings":["Department of Information Systems, E\u00f6tv\u00f6s Lonr\u00e1nd University, Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Systems, E\u00f6tv\u00f6s Lonr\u00e1nd University, Budapest, Hungary","institution_ids":["https://openalex.org/I106118109"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I106118109"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.19573395,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"3","issue":null,"first_page":"183","last_page":"188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9936000108718872,"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"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/simple","display_name":"Simple (philosophy)","score":0.7045773863792419},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6879699230194092},{"id":"https://openalex.org/keywords/connectionism","display_name":"Connectionism","score":0.6789637804031372},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6044025421142578},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5991920232772827},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5740242600440979},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5197519659996033},{"id":"https://openalex.org/keywords/memorization","display_name":"Memorization","score":0.5172901153564453},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.48321473598480225},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47740665078163147},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4579642415046692},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3674476146697998},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24004682898521423}],"concepts":[{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.7045773863792419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6879699230194092},{"id":"https://openalex.org/C8521452","wikidata":"https://www.wikidata.org/wiki/Q203790","display_name":"Connectionism","level":3,"score":0.6789637804031372},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6044025421142578},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5991920232772827},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5740242600440979},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5197519659996033},{"id":"https://openalex.org/C30038468","wikidata":"https://www.wikidata.org/wiki/Q4354775","display_name":"Memorization","level":2,"score":0.5172901153564453},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.48321473598480225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47740665078163147},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4579642415046692},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3674476146697998},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24004682898521423},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2004.1379895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1379895","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.704.1469","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.704.1469","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://nipg.inf.elte.hu/publications/szita04simple.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W79613412","https://openalex.org/W1517386993","https://openalex.org/W1560739766","https://openalex.org/W1573503290","https://openalex.org/W1588533203","https://openalex.org/W1592855356","https://openalex.org/W1981799875","https://openalex.org/W2007431958","https://openalex.org/W2016589492","https://openalex.org/W2047515372","https://openalex.org/W2047725438","https://openalex.org/W2064675550","https://openalex.org/W2079704552","https://openalex.org/W2094631910","https://openalex.org/W2123457491","https://openalex.org/W2124295159","https://openalex.org/W2126434873","https://openalex.org/W2132514348","https://openalex.org/W2141703670","https://openalex.org/W2150039113","https://openalex.org/W2154642048","https://openalex.org/W2154890045","https://openalex.org/W2169791674","https://openalex.org/W2537903277","https://openalex.org/W2766736793","https://openalex.org/W3121926921","https://openalex.org/W6682610290"],"related_works":["https://openalex.org/W4387561393","https://openalex.org/W3163481960","https://openalex.org/W3093895509","https://openalex.org/W4205841273","https://openalex.org/W4205525690","https://openalex.org/W280704926","https://openalex.org/W1732468982","https://openalex.org/W1761388607","https://openalex.org/W2476068070","https://openalex.org/W4323971310"],"abstract_inverted_index":{"We":[0,33],"can":[1],"memorize":[2],"long":[3],"sequences":[4],"like":[5],"melodies":[6],"or":[7],"poems":[8],"and":[9,40],"it":[10],"is":[11,54],"intriguing":[12],"to":[13,27],"develop":[14],"efficient":[15],"connectionist":[16],"representations":[17],"for":[18],"this":[19,57],"problem.":[20,49],"Recurrent":[21],"neural":[22],"networks":[23],"have":[24],"been":[25],"proved":[26],"offer":[28],"a":[29,36,42,61],"reasonable":[30],"approach":[31],"here.":[32],"start":[34],"from":[35],"few":[37],"axiomatic":[38],"assumptions":[39],"provide":[41],"simple":[43],"mathematical":[44],"framework":[45],"that":[46],"encapsulates":[47],"the":[48,65],"A":[50],"gradient-descent":[51],"based":[52],"algorithm":[53],"derived":[55],"in":[56],"framework.":[58],"Demonstrations":[59],"on":[60],"benchmark":[62],"problem":[63],"show":[64],"applicability":[66],"of":[67],"our":[68],"approach.":[69]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
