{"id":"https://openalex.org/W3007569190","doi":"https://doi.org/10.1109/tnnls.2019.2962020","title":"A New Concept of Multiple Neural Networks Structure Using Convex Combination","display_name":"A New Concept of Multiple Neural Networks Structure Using Convex Combination","publication_year":2020,"publication_date":"2020-02-20","ids":{"openalex":"https://openalex.org/W3007569190","doi":"https://doi.org/10.1109/tnnls.2019.2962020","mag":"3007569190","pmid":"https://pubmed.ncbi.nlm.nih.gov/32086222"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2019.2962020","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2019.2962020","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101864539","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0002-7644-7445"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yu Wang","raw_affiliation_strings":["Samsung Research America, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Samsung Research America, Mountain View, CA, USA","institution_ids":["https://openalex.org/I4210101778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082404485","display_name":"Yue Deng","orcid":"https://orcid.org/0000-0003-2871-8922"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Deng","raw_affiliation_strings":["School of Astronautics, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058974318","display_name":"Yilin Shen","orcid":"https://orcid.org/0000-0002-1955-1529"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yilin Shen","raw_affiliation_strings":["Samsung Research America, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Samsung Research America, Mountain View, CA, USA","institution_ids":["https://openalex.org/I4210101778"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044205212","display_name":"Hongxia Jin","orcid":"https://orcid.org/0009-0000-0222-4217"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongxia Jin","raw_affiliation_strings":["Samsung Research America, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Samsung Research America, Mountain View, CA, USA","institution_ids":["https://openalex.org/I4210101778"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101864539"],"corresponding_institution_ids":["https://openalex.org/I4210101778"],"apc_list":null,"apc_paid":null,"fwci":0.7954,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.77514609,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"31","issue":"11","first_page":"4968","last_page":"4979"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T11309","display_name":"Music and Audio Processing","score":0.9962999820709229,"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"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9962000250816345,"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/mnist-database","display_name":"MNIST database","score":0.880874752998352},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.806481122970581},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6499744653701782},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6342679262161255},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6231871843338013},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.568373441696167},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5634948015213013},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5634028315544128},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.550617516040802},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5326133966445923},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48767364025115967},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.4331872761249542},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4229659140110016},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3855569660663605}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.880874752998352},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.806481122970581},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6499744653701782},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6342679262161255},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6231871843338013},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.568373441696167},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5634948015213013},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5634028315544128},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.550617516040802},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5326133966445923},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48767364025115967},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.4331872761249542},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4229659140110016},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3855569660663605},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2019.2962020","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2019.2962020","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:32086222","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32086222","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4300000071525574,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":81,"referenced_works":["https://openalex.org/W4919037","https://openalex.org/W179875071","https://openalex.org/W205159212","https://openalex.org/W1485882195","https://openalex.org/W1533861849","https://openalex.org/W1587506928","https://openalex.org/W1665214252","https://openalex.org/W1689711448","https://openalex.org/W1832693441","https://openalex.org/W1921523184","https://openalex.org/W1932176876","https://openalex.org/W1934184906","https://openalex.org/W1967928782","https://openalex.org/W1968150162","https://openalex.org/W1971034924","https://openalex.org/W1981612131","https://openalex.org/W2033154814","https://openalex.org/W2059148040","https://openalex.org/W2064675550","https://openalex.org/W2069143585","https://openalex.org/W2091671846","https://openalex.org/W2094472029","https://openalex.org/W2107878631","https://openalex.org/W2112796928","https://openalex.org/W2133564696","https://openalex.org/W2135705692","https://openalex.org/W2137871902","https://openalex.org/W2138484437","https://openalex.org/W2139427956","https://openalex.org/W2139622435","https://openalex.org/W2141125852","https://openalex.org/W2148461049","https://openalex.org/W2156163116","https://openalex.org/W2161406427","https://openalex.org/W2161534096","https://openalex.org/W2170393096","https://openalex.org/W2172174689","https://openalex.org/W2173629880","https://openalex.org/W2272908740","https://openalex.org/W2396928039","https://openalex.org/W2397579082","https://openalex.org/W2399456070","https://openalex.org/W2400801499","https://openalex.org/W2402144811","https://openalex.org/W2473329891","https://openalex.org/W2546302380","https://openalex.org/W2557283755","https://openalex.org/W2569028745","https://openalex.org/W2612246789","https://openalex.org/W2618530766","https://openalex.org/W2620369751","https://openalex.org/W2735778951","https://openalex.org/W2804945011","https://openalex.org/W2865728222","https://openalex.org/W2888921503","https://openalex.org/W2891533927","https://openalex.org/W2919115771","https://openalex.org/W2953384591","https://openalex.org/W2962775474","https://openalex.org/W2963974889","https://openalex.org/W3121926921","https://openalex.org/W4232220759","https://openalex.org/W4232686987","https://openalex.org/W6600213771","https://openalex.org/W6607333740","https://openalex.org/W6608394925","https://openalex.org/W6631943919","https://openalex.org/W6637242042","https://openalex.org/W6640185926","https://openalex.org/W6640419265","https://openalex.org/W6679434410","https://openalex.org/W6680911068","https://openalex.org/W6681813608","https://openalex.org/W6684753728","https://openalex.org/W6694646526","https://openalex.org/W6712113113","https://openalex.org/W6712249138","https://openalex.org/W6713134421","https://openalex.org/W6753332334","https://openalex.org/W6788718338","https://openalex.org/W7016994396"],"related_works":["https://openalex.org/W2987302549","https://openalex.org/W3209211374","https://openalex.org/W4387327236","https://openalex.org/W2183488467","https://openalex.org/W2028462208","https://openalex.org/W4309907966","https://openalex.org/W4387896287","https://openalex.org/W4285337533","https://openalex.org/W2982831492","https://openalex.org/W2187490799"],"abstract_inverted_index":{"In":[0],"this":[1,117,152],"article,":[2],"a":[3,47,55,75,98,138],"new":[4,16,37,69,118,153],"concept":[5],"of":[6,67,108,134],"convex-combined":[7],"multiple":[8,23],"neural":[9],"networks":[10],"(NNs)":[11],"structure":[12,119],"is":[13,39,74,97],"proposed.":[14],"This":[15],"approach":[17,38],"uses":[18],"the":[19,27,36,65,71,86,95,104,122],"collective":[20],"information":[21],"from":[22],"NNs":[24,127],"to":[25,41,63],"train":[26],"model.":[28],"Based":[29],"on":[30,85,103],"both":[31,121,135],"theoretical":[32],"and":[33,94,110,125],"experimental":[34],"analyses,":[35],"shown":[40],"achieve":[42],"faster":[43,142],"training":[44,143],"convergence":[45],"with":[46,145],"similar":[48,148],"or":[49,147],"even":[50],"better":[51,146],"test":[52,116],"accuracy":[53],"than":[54],"conventional":[56],"NN":[57,124],"structure.":[58],"Two":[59],"experiments":[60,136],"are":[61],"conducted":[62],"demonstrate":[64,137],"performance":[66,149],"our":[68],"structure:":[70],"first":[72],"one":[73],"semantic":[76],"frame":[77],"parsing":[78],"task":[79,102],"for":[80],"spoken":[81],"language":[82],"understanding":[83],"(SLU)":[84],"Airline":[87],"Travel":[88],"Information":[89],"System":[90],"(ATIS)":[91],"data":[92,113],"set":[93],"other":[96],"handwritten":[99],"digit":[100],"recognition":[101],"Mixed":[105],"National":[106],"Institute":[107],"Standards":[109],"Technology":[111],"(MNIST)":[112],"set.":[114],"We":[115],"using":[120,151],"recurrent":[123],"convolutional":[126],"through":[128],"these":[129],"two":[130],"tasks.":[131],"The":[132],"results":[133],"4\u00d7":[139],"-":[140],"8\u00d7":[141],"speed":[144],"by":[150],"concept.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}