{"id":"https://openalex.org/W3166848490","doi":"https://doi.org/10.1155/2021/2857244","title":"Application on Online Process Learning Evaluation Based on Optimal Discrete Hopfield Neural Network and Entropy Weight TOPSIS Method","display_name":"Application on Online Process Learning Evaluation Based on Optimal Discrete Hopfield Neural Network and Entropy Weight TOPSIS Method","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3166848490","doi":"https://doi.org/10.1155/2021/2857244","mag":"3166848490"},"language":"en","primary_location":{"id":"doi:10.1155/2021/2857244","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/2857244","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/2857244.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"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":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/complexity/2021/2857244.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010668483","display_name":"Chuanshuang Hu","orcid":"https://orcid.org/0000-0002-2360-6836"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I46520130","display_name":"Chaohu University","ror":"https://ror.org/00mwds915","country_code":"CN","type":"education","lineage":["https://openalex.org/I46520130"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanshuang Hu","raw_affiliation_strings":["School of Public Affairs, University of Science and Technology of China, Hefei 230026, China","Academic Affairs Office, Chaohu University, Chaohu 238000, China"],"affiliations":[{"raw_affiliation_string":"School of Public Affairs, University of Science and Technology of China, Hefei 230026, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Academic Affairs Office, Chaohu University, Chaohu 238000, China","institution_ids":["https://openalex.org/I46520130"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100556297","display_name":"Yongmei Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I46520130","display_name":"Chaohu University","ror":"https://ror.org/00mwds915","country_code":"CN","type":"education","lineage":["https://openalex.org/I46520130"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongmei Ma","raw_affiliation_strings":["Academic Affairs Office, Chaohu University, Chaohu 238000, China","Department of Mathematics and Statistics, Chaohu University, Chaohu 238000, China"],"affiliations":[{"raw_affiliation_string":"Academic Affairs Office, Chaohu University, Chaohu 238000, China","institution_ids":["https://openalex.org/I46520130"]},{"raw_affiliation_string":"Department of Mathematics and Statistics, Chaohu University, Chaohu 238000, China","institution_ids":["https://openalex.org/I46520130"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101575788","display_name":"Ting Chen","orcid":"https://orcid.org/0000-0003-0815-5114"},"institutions":[{"id":"https://openalex.org/I4210156464","display_name":"Anhui Xinhua University","ror":"https://ror.org/053d7x641","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210156464"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ting Chen","raw_affiliation_strings":["School of Culture and Media, Anhui Xinhua University, Hefei 230088, China"],"affiliations":[{"raw_affiliation_string":"School of Culture and Media, Anhui Xinhua University, Hefei 230088, China","institution_ids":["https://openalex.org/I4210156464"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101575788"],"corresponding_institution_ids":["https://openalex.org/I4210156464"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":1.3992,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.84762937,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2021","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.980400025844574,"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":0.980400025844574,"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/T12805","display_name":"Cognitive Science and Mapping","score":0.9534000158309937,"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/hopfield-network","display_name":"Hopfield network","score":0.7464138269424438},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7289069890975952},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.694880485534668},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6730023622512817},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6138823628425598},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6112874746322632},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5464174151420593},{"id":"https://openalex.org/keywords/topsis","display_name":"TOPSIS","score":0.5149462819099426},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5011870861053467},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35466572642326355},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19124197959899902},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.15793296694755554}],"concepts":[{"id":"https://openalex.org/C46421273","wikidata":"https://www.wikidata.org/wiki/Q1407668","display_name":"Hopfield network","level":3,"score":0.7464138269424438},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7289069890975952},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.694880485534668},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6730023622512817},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6138823628425598},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6112874746322632},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5464174151420593},{"id":"https://openalex.org/C51566761","wikidata":"https://www.wikidata.org/wiki/Q1235853","display_name":"TOPSIS","level":2,"score":0.5149462819099426},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5011870861053467},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35466572642326355},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19124197959899902},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.15793296694755554},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2021/2857244","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/2857244","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/2857244.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"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":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:hin:complx:2857244","is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/complexity/2021/2857244.xml","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:13f7b99288a04031b36f8cfb57e861b6","is_oa":true,"landing_page_url":"https://doaj.org/article/13f7b99288a04031b36f8cfb57e861b6","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complexity, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/2857244","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/2857244","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/2857244.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"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":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320330920","display_name":"Chaohu University","ror":"https://ror.org/00mwds915"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3166848490.pdf","grobid_xml":"https://content.openalex.org/works/W3166848490.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W65471274","https://openalex.org/W2101055774","https://openalex.org/W2371506596","https://openalex.org/W2394064748","https://openalex.org/W2507931172","https://openalex.org/W3095881781","https://openalex.org/W3118937815","https://openalex.org/W3142427843","https://openalex.org/W4238237487"],"related_works":["https://openalex.org/W2560304016","https://openalex.org/W2355511198","https://openalex.org/W2744391954","https://openalex.org/W2359284531","https://openalex.org/W2127368611","https://openalex.org/W2113914464","https://openalex.org/W2367235275","https://openalex.org/W2355331022","https://openalex.org/W1763219791","https://openalex.org/W2116479904"],"abstract_inverted_index":{"Sustainable":[0],"development":[1],"education":[2],"respects":[3],"differences":[4],"and":[5,32,92,152,179,187],"encourages":[6],"different":[7,159],"assessment":[8],"methods":[9],"to":[10,22,25,66,83,103,126,144],"evaluate":[11,137],"students.":[12],"During":[13],"the":[14,45,68,72,76,85,95,100,104,108,111,119,130,145,149,154,166,175,180],"epidemic,":[15],"many":[16],"colleges\u2019":[17],"examinations":[18],"changed":[19],"from":[20],"offline":[21],"online.":[23],"How":[24],"fully":[26],"consider":[27],"students\u2019":[28,88],"process":[29,46,73,140,176],"learning":[30,47,141,177],"status":[31],"make":[33],"a":[34,50,53,60],"reasonable":[35],"evaluation":[36,90,132,155,182],"of":[37,41,49,74,97,99,157],"students":[38],"is":[39,81,124,172],"worthy":[40],"research.":[42],"Based":[43],"on":[44],"data":[48],"course":[51],"in":[52,55,110,174],"university":[54],"China,":[56],"this":[57],"study":[58],"establishes":[59],"discrete":[61,113,168],"Hopfield":[62,114,169],"neural":[63,115,170],"network":[64,116,171],"model":[65,101,181],"classify":[67],"test":[69],"samples.":[70],"In":[71],"modelling,":[75],"grey":[77],"correlation":[78],"analysis":[79,162],"method":[80,123],"used":[82,125],"optimize":[84],"elements":[86],"affecting":[87],"comprehensive":[89],"index,":[91],"it":[93],"solves":[94],"problem":[96],"failure":[98],"due":[102],"large":[105],"gap":[106],"between":[107],"factors":[109],"traditional":[112],"model.":[117],"Then,":[118],"entropy":[120],"right":[121],"TOPSIS":[122],"rank":[127],"samples":[128],"with":[129],"same":[131],"grade.":[133],"Teachers":[134],"can":[135],"objectively":[136],"each":[138],"student\u2019s":[139],"performance":[142],"according":[143],"ranking":[146],"results.":[147],"Finally,":[148],"article":[150],"compares":[151],"analyzes":[153],"results":[156,163,183],"various":[158],"methods.":[160],"The":[161],"believe":[164],"that":[165],"optimized":[167],"feasible":[173],"evaluation,":[178],"are":[184],"more":[185],"objective":[186],"comprehensive.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}