{"id":"https://openalex.org/W2053104821","doi":"https://doi.org/10.1109/icca.2013.6565054","title":"Be expert in multiple aspects and good at many modular neural network with reduced subnet relative training complexity","display_name":"Be expert in multiple aspects and good at many modular neural network with reduced subnet relative training complexity","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2053104821","doi":"https://doi.org/10.1109/icca.2013.6565054","mag":"2053104821"},"language":"en","primary_location":{"id":"doi:10.1109/icca.2013.6565054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca.2013.6565054","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 10th IEEE International Conference on Control and Automation (ICCA)","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/A5067108647","display_name":"Jiasen Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiasen Wang","raw_affiliation_strings":["College of Electrical Engineering, Zhejiang University, Hangzhou, China","[Coll. of Electr. Eng., Zhejiang Univ., Hangzhou, China]"],"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"[Coll. of Electr. Eng., Zhejiang Univ., Hangzhou, China]","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040402082","display_name":"Chao Huang","orcid":"https://orcid.org/0000-0001-9872-3511"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Huang","raw_affiliation_strings":["College of Electrical Engineering, Zhejiang University, Hangzhou, China","[Coll. of Electr. Eng., Zhejiang Univ., Hangzhou, China]"],"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"[Coll. of Electr. Eng., Zhejiang Univ., Hangzhou, China]","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102946392","display_name":"Xudong Ye","orcid":"https://orcid.org/0000-0001-7434-0081"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xudong Ye","raw_affiliation_strings":["College of Electrical Engineering, Zhejiang University, Hangzhou, China","[Coll. of Electr. Eng., Zhejiang Univ., Hangzhou, China]"],"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"[Coll. of Electr. Eng., Zhejiang Univ., Hangzhou, China]","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067108647"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08862847,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":null,"first_page":"1306","last_page":"1311"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9898999929428101,"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":0.9869999885559082,"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/subnet","display_name":"Subnet","score":0.9789336919784546},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7472164630889893},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.7164327502250671},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6484233140945435},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5931499600410461},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45974451303482056},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3918808400630951},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.34758251905441284},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.27319496870040894},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09869307279586792}],"concepts":[{"id":"https://openalex.org/C21099817","wikidata":"https://www.wikidata.org/wiki/Q7631721","display_name":"Subnet","level":2,"score":0.9789336919784546},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7472164630889893},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.7164327502250671},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6484233140945435},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5931499600410461},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45974451303482056},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3918808400630951},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.34758251905441284},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.27319496870040894},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09869307279586792},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icca.2013.6565054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca.2013.6565054","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 10th IEEE International Conference on Control and Automation (ICCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1970381782","https://openalex.org/W2006544565","https://openalex.org/W2027867903","https://openalex.org/W2075183947","https://openalex.org/W2075887074","https://openalex.org/W2135719924","https://openalex.org/W2137983211","https://openalex.org/W2142585258","https://openalex.org/W2150884987","https://openalex.org/W2155482699","https://openalex.org/W2167967601","https://openalex.org/W2369380870","https://openalex.org/W3004732066","https://openalex.org/W6679969125","https://openalex.org/W6684426766"],"related_works":["https://openalex.org/W2102539527","https://openalex.org/W2131631951","https://openalex.org/W2356206668","https://openalex.org/W2130707537","https://openalex.org/W3200778902","https://openalex.org/W1977409556","https://openalex.org/W2361602549","https://openalex.org/W4362683600","https://openalex.org/W2105155969","https://openalex.org/W2390667963"],"abstract_inverted_index":{"This":[0],"paper":[1],"mainly":[2],"aims":[3],"at":[4,20],"reducing":[5],"relative":[6,104],"learning":[7,29,52,105],"complexity":[8,106],"of":[9,83,107,132,136,148],"subnets":[10],"originate":[11],"from":[12,145],"\u201cbe":[13],"Expert":[14],"in":[15,46,87],"Multiple":[16],"aspects":[17],"and":[18,40,81,95,141],"Good":[19],"Many\u201d":[21],"(EMGM)":[22],"modular":[23],"neural":[24],"network":[25],"(MNN).":[26],"Firstly,":[27],"subnet":[28],"algorithm":[30,63],"which":[31,54],"has":[32],"a":[33],"pure":[34],"sequential":[35],"execution":[36],"style":[37],"is":[38,43,66],"built":[39],"convergence":[41],"analysis":[42,128],"given.":[44],"Secondly,":[45],"EMGM":[47,137],"MNN":[48,138],"system,":[49],"an":[50],"equivalent":[51],"condition,":[53],"satisfies":[55],"the":[56,60,79,84,99,142,146],"criterion":[57],"needed":[58],"for":[59,68],"efficient":[61],"training":[62],"designed":[64],"before,":[65],"founded":[67],"every":[69,108],"subnet.":[70,109],"Three":[71],"identification":[72],"problems":[73],"have":[74],"been":[75],"involved":[76],"to":[77],"test":[78],"effectiveness":[80],"efficiency":[82],"new":[85,100,115],"framework":[86,101,116],"dealing":[88],"with":[89,122],"low":[90],"dimension":[91],"data.":[92],"Both":[93],"theoretical":[94],"experimental":[96],"results":[97],"show":[98],"will":[102],"reduce":[103],"The":[110],"experiment":[111],"result":[112],"also":[113],"shows":[114,129],"can":[117],"achieve":[118],"comparable":[119],"generalization":[120,133],"capability":[121],"original":[123],"one.":[124],"Furthermore,":[125],"Bias":[126],"Variance":[127],"maximum":[130],"ability":[131],"performance":[134],"improvement":[135,143,147],"may":[139],"exist":[140],"comes":[144],"bias":[149],"estimation":[150],"accuracy.":[151]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}