{"id":"https://openalex.org/W3202721935","doi":"https://doi.org/10.1155/2021/4133892","title":"[Retracted] Audience Evaluation and Analysis of Symphony Performance Effects Based on the Genetic Neural Network Algorithm for the Multilayer Perceptron (GA\u2010MLP\u2010NN)","display_name":"[Retracted] Audience Evaluation and Analysis of Symphony Performance Effects Based on the Genetic Neural Network Algorithm for the Multilayer Perceptron (GA\u2010MLP\u2010NN)","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3202721935","doi":"https://doi.org/10.1155/2021/4133892","mag":"3202721935","pmid":"https://pubmed.ncbi.nlm.nih.gov/34659391"},"language":"en","primary_location":{"id":"doi:10.1155/2021/4133892","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/4133892","pdf_url":"https://downloads.hindawi.com/journals/cin/2021/4133892.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cin/2021/4133892.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101883143","display_name":"Cong Yan","orcid":"https://orcid.org/0000-0002-3301-4535"},"institutions":[{"id":"https://openalex.org/I350617331","display_name":"Shanghai Conservatory of Music","ror":"https://ror.org/012f6xc93","country_code":"CN","type":"education","lineage":["https://openalex.org/I350617331"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cong Yan","raw_affiliation_strings":["Shanghai Conservatory of Music, Shanghai 200031, China"],"raw_orcid":"https://orcid.org/0000-0002-3301-4535","affiliations":[{"raw_affiliation_string":"Shanghai Conservatory of Music, Shanghai 200031, China","institution_ids":["https://openalex.org/I350617331"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101883143"],"corresponding_institution_ids":["https://openalex.org/I350617331"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":1.1376,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.83438507,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2021","issue":"1","first_page":"4133892","last_page":"4133892"},"is_retracted":true,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13647","display_name":"AI and Big Data Applications","score":0.9711999893188477,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13647","display_name":"AI and Big Data Applications","score":0.9711999893188477,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12260","display_name":"Educational Technology and Pedagogy","score":0.9578999876976013,"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/T13676","display_name":"Educational and Technological Research","score":0.9466999769210815,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/symphony","display_name":"Symphony","score":0.8565636277198792},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7907297015190125},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7125444412231445},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5960251688957214},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5957305431365967},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5619309544563293},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5084618330001831},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4895826280117035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4861730933189392},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44950684905052185},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4334985017776489},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.4240611791610718}],"concepts":[{"id":"https://openalex.org/C16277566","wikidata":"https://www.wikidata.org/wiki/Q9734","display_name":"Symphony","level":2,"score":0.8565636277198792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7907297015190125},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7125444412231445},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5960251688957214},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5957305431365967},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5619309544563293},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5084618330001831},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4895826280117035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4861730933189392},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44950684905052185},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4334985017776489},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.4240611791610718},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1155/2021/4133892","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/4133892","pdf_url":"https://downloads.hindawi.com/journals/cin/2021/4133892.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},{"id":"pmid:34659391","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34659391","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":"Computational intelligence and neuroscience","raw_type":null},{"id":"pmh:oai:doaj.org/article:f0840b6c66d344e383fb9808f33f92fa","is_oa":false,"landing_page_url":"https://doaj.org/article/f0840b6c66d344e383fb9808f33f92fa","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Intelligence and Neuroscience, Vol 2021 (2021)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8519685","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8519685","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Comput Intell Neurosci","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2021/4133892","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/4133892","pdf_url":"https://downloads.hindawi.com/journals/cin/2021/4133892.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3202721935.pdf","grobid_xml":"https://content.openalex.org/works/W3202721935.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W2096295082","https://openalex.org/W2464275509","https://openalex.org/W2563031223","https://openalex.org/W2579725890","https://openalex.org/W2587585171","https://openalex.org/W2606629906","https://openalex.org/W2663838451","https://openalex.org/W2764159532","https://openalex.org/W2769115058","https://openalex.org/W2781560769","https://openalex.org/W2811373158","https://openalex.org/W2887063112","https://openalex.org/W2897625918","https://openalex.org/W2913127908","https://openalex.org/W2916474192","https://openalex.org/W2939526242","https://openalex.org/W2949903789","https://openalex.org/W2954161205","https://openalex.org/W2963435138","https://openalex.org/W2966448636","https://openalex.org/W2969230409","https://openalex.org/W2984841888","https://openalex.org/W3006147466","https://openalex.org/W3083068801","https://openalex.org/W3084280717","https://openalex.org/W3091095844","https://openalex.org/W3096193467","https://openalex.org/W3105096762","https://openalex.org/W3107698614","https://openalex.org/W3118496544","https://openalex.org/W3142611481","https://openalex.org/W3144012076","https://openalex.org/W3170313526"],"related_works":["https://openalex.org/W2076543106","https://openalex.org/W2523437662","https://openalex.org/W89844371","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W4286643620","https://openalex.org/W4387048144","https://openalex.org/W2492135063","https://openalex.org/W2362514456","https://openalex.org/W2136232598"],"abstract_inverted_index":{"Traditional":[0],"symphony":[1,78,115,146,212],"performances":[2],"need":[3],"to":[4,16,85,102,121],"obtain":[5],"a":[6],"large":[7,39],"amount":[8],"of":[9,13,22,28,56,76,109,113,126,145,180,193,208,211],"data":[10,44,70,87,112,181],"in":[11,73,161,169,204],"terms":[12],"effect":[14,210],"evaluation":[15,32,54,75,91,108,143,178,207],"ensure":[17],"the":[18,23,26,30,52,61,69,74,77,89,114,127,141,150,172,176,188,209],"authenticity":[19],"and":[20,42,106,118,124,133,164,198],"stability":[21],"data.":[24],"In":[25],"process":[27,117],"processing":[29,71],"audience":[31,53,128],"data,":[33],"there":[34],"are":[35,83,131],"problems":[36],"such":[37],"as":[38,187],"calculation":[40],"dimensions":[41],"low":[43],"relevance.":[45],"Based":[46],"on":[47,60,88,149],"this,":[48],"this":[49],"article":[50],"studies":[51],"model":[55,144],"teaching":[57],"quality":[58],"based":[59,148],"multilayer":[62,151],"perceptron":[63,152],"genetic":[64,93,153],"neural":[65,94,154],"network":[66,95,155],"algorithm":[67,96,156],"for":[68,99],"link":[72],"performance":[79,116,142,147],"effect.":[80],"Multilayer":[81],"perceptrons":[82],"combined":[84],"collect":[86],"audience's":[90],"information;":[92],"is":[97,165,195],"used":[98],"comprehensive":[100],"analysis":[101,105],"realize":[103],"multivariate":[104],"objective":[107],"all":[110],"vocal":[111],"effects":[119],"according":[120],"different":[122],"characteristics":[123],"expressions":[125],"evaluation.":[129],"Changes":[130],"analyzed":[132],"evaluated":[134,160],"accurately.":[135],"The":[136],"experimental":[137],"results":[138,173],"show":[139],"that":[140],"can":[157],"be":[158],"quantitatively":[159],"real":[162],"time":[163],"at":[166],"least":[167],"higher":[168],"accuracy":[170],"than":[171],"obtained":[174],"by":[175],"mainstream":[177],"method":[179],"postprocessing":[182],"with":[183],"optimized":[184],"iterative":[185],"algorithms":[186],"core":[189],"23.1%,":[190],"its":[191],"scope":[192],"application":[194],"also":[196],"wider,":[197],"it":[199],"has":[200],"important":[201],"practical":[202],"significance":[203],"real-time":[205],"quantitative":[206],"performance.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}