{"id":"https://openalex.org/W4384080090","doi":"https://doi.org/10.1109/access.2023.3294804","title":"A BP Neural Network-Assisted Smart Decision Method for Education Quality","display_name":"A BP Neural Network-Assisted Smart Decision Method for Education Quality","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4384080090","doi":"https://doi.org/10.1109/access.2023.3294804"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3294804","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3294804","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10180124.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10180124.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100719184","display_name":"Dan Zhang","orcid":"https://orcid.org/0000-0002-9299-131X"},"institutions":[{"id":"https://openalex.org/I151013683","display_name":"Binzhou University","ror":"https://ror.org/05frpfj73","country_code":"CN","type":"education","lineage":["https://openalex.org/I151013683"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dan Zhang","raw_affiliation_strings":["School of Art, Binzhou University, Binzhou, China","School of art, Binzhou University, Binzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Art, Binzhou University, Binzhou, China","institution_ids":["https://openalex.org/I151013683"]},{"raw_affiliation_string":"School of art, Binzhou University, Binzhou, China","institution_ids":["https://openalex.org/I151013683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101764703","display_name":"Liang Chen","orcid":"https://orcid.org/0000-0002-7146-5636"},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Chen","raw_affiliation_strings":["School of Marxism, Lanzhou University, Lanzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Marxism, Lanzhou University, Lanzhou, China","institution_ids":["https://openalex.org/I76214153"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100719184"],"corresponding_institution_ids":["https://openalex.org/I151013683"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.564,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.82998316,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"74569","last_page":"74578"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13918","display_name":"Advanced Data and IoT Technologies","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13918","display_name":"Advanced Data and IoT Technologies","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13161","display_name":"Ideological and Political Education","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13567","display_name":"AI and Multimedia in Education","score":0.9944999814033508,"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/computer-science","display_name":"Computer science","score":0.8035683631896973},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7062248587608337},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6474269032478333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6174196004867554},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.615772008895874},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5802572965621948},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5483154654502869},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.41234204173088074},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35794663429260254}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8035683631896973},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7062248587608337},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6474269032478333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6174196004867554},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.615772008895874},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5802572965621948},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5483154654502869},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.41234204173088074},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35794663429260254},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3294804","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3294804","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10180124.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9f1b8069ce864713bf0c9290c6cedb20","is_oa":true,"landing_page_url":"https://doaj.org/article/9f1b8069ce864713bf0c9290c6cedb20","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 74569-74578 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3294804","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3294804","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10180124.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4384080090.pdf","grobid_xml":"https://content.openalex.org/works/W4384080090.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W2036829859","https://openalex.org/W2068306188","https://openalex.org/W2120255207","https://openalex.org/W2158534713","https://openalex.org/W2587446613","https://openalex.org/W2766275656","https://openalex.org/W2800822005","https://openalex.org/W2802136917","https://openalex.org/W2803160395","https://openalex.org/W2804334293","https://openalex.org/W2901383895","https://openalex.org/W2912924812","https://openalex.org/W2913074290","https://openalex.org/W2920679968","https://openalex.org/W2940614664","https://openalex.org/W2962408248","https://openalex.org/W2976621832","https://openalex.org/W2980951729","https://openalex.org/W2994305441","https://openalex.org/W3010763843","https://openalex.org/W3011411500","https://openalex.org/W3091324322","https://openalex.org/W3111091963","https://openalex.org/W3114629568","https://openalex.org/W3133963609","https://openalex.org/W3186905493","https://openalex.org/W3214309058","https://openalex.org/W4283215419","https://openalex.org/W4285142610","https://openalex.org/W4290715849","https://openalex.org/W4293731782","https://openalex.org/W4296849331","https://openalex.org/W4321792464"],"related_works":["https://openalex.org/W4239286941","https://openalex.org/W2088845016","https://openalex.org/W589102260","https://openalex.org/W1966421350","https://openalex.org/W1868434454","https://openalex.org/W2894173309","https://openalex.org/W4387932263","https://openalex.org/W2157746493","https://openalex.org/W2371065793","https://openalex.org/W1977222966"],"abstract_inverted_index":{"Deep":[0],"neural":[1,53,118],"network-based":[2],"decision":[3,56],"support":[4],"has":[5,143,156],"been":[6,144,157],"more":[7,44],"prevalent":[8],"in":[9,40,63,180],"many":[10],"cross-discipline":[11],"applications,":[12],"as":[13,124],"their":[14],"strong":[15],"computation":[16],"ability":[17],"can":[18,177],"facilitate":[19],"knowledge":[20],"discovery":[21],"and":[22,88,112,121,136,146,148,170],"rule":[23],"mining.":[24],"In":[25],"this":[26,28,48,64,104],"context,":[27],"work":[29,178],"explores":[30],"its":[31],"utilization":[32],"to":[33,42,73,81,127],"the":[34,67,83,129,139,149,171,175],"field":[35],"of":[36,69,85,110,131,152,182],"education":[37,59,91,114,184],"quality":[38,60,155,185],"evaluation,":[39],"order":[41],"bring":[43],"automatic":[45,183],"elements":[46],"for":[47,58,167],"purpose.":[49],"Therefore,":[50],"a":[51,89,100],"BP":[52,117],"network-assisted":[54],"smart":[55],"method":[57,68,78],"is":[61,71,79,95],"proposed":[62],"paper.":[65],"Specifically,":[66],"questionnaires":[70],"utilized":[72],"screen":[74],"indicators,":[75],"expert":[76],"evaluation":[77,86,92,102,108,150],"adopted":[80],"determine":[82],"weight":[84],"indexes,":[87],"comprehensive":[90],"index":[93],"system":[94],"accordingly":[96],"built.":[97],"After":[98],"constructing":[99],"complete":[101],"system,":[103],"paper":[105],"establishes":[106],"an":[107,125],"model":[109,142],"ideological":[111],"political":[113],"by":[115],"using":[116],"network":[119],"algorithm":[120],"takes":[122],"University":[123,133],"example":[126],"compare":[128],"performance":[130],"W":[132],"students":[134],"before":[135],"after":[137],"applying":[138],"model.":[140],"This":[141],"applied":[145],"demonstrated,":[147],"way":[151],"college":[153],"teaching":[154],"innovated.":[158],"At":[159],"last,":[160],"some":[161],"simulation":[162],"experiments":[163],"are":[164],"carried":[165],"out":[166],"further":[168],"assessment,":[169],"results":[172],"show":[173],"that":[174],"proposal":[176],"well":[179],"terms":[181],"evaluation.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
