{"id":"https://openalex.org/W2897928318","doi":"https://doi.org/10.1155/2018/5736030","title":"Broad Learning\u2010Based Optimization and Prediction of Questionnaire Survey: Application to Mind Status of College Students","display_name":"Broad Learning\u2010Based Optimization and Prediction of Questionnaire Survey: Application to Mind Status of College Students","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2897928318","doi":"https://doi.org/10.1155/2018/5736030","mag":"2897928318"},"language":"en","primary_location":{"id":"doi:10.1155/2018/5736030","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/5736030","pdf_url":"http://downloads.hindawi.com/journals/complexity/2018/5736030.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":"http://downloads.hindawi.com/journals/complexity/2018/5736030.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101915358","display_name":"Lin Yu","orcid":"https://orcid.org/0000-0001-8841-5670"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lin Yu","raw_affiliation_strings":["School of Marxism, Northwestern Polytechnical University, China","School of Marxism, Northwestern Polytechnical University"],"affiliations":[{"raw_affiliation_string":"School of Marxism, Northwestern Polytechnical University, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Marxism, Northwestern Polytechnical University","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088843665","display_name":"Ding She-jiao","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shejiao Ding","raw_affiliation_strings":["School of Humanities, Economics and Law, Northwestern Polytechnical University, China","School of Humanities, Economics and Law, Northwestern Polytechnical University"],"affiliations":[{"raw_affiliation_string":"School of Humanities, Economics and Law, Northwestern Polytechnical University, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Humanities, Economics and Law, Northwestern Polytechnical University","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101915358"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":0.3384,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6954272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2018","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9997000098228455,"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/T12676","display_name":"Machine Learning and ELM","score":0.9997000098228455,"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":0.982699990272522,"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/T10320","display_name":"Neural Networks and Applications","score":0.9627000093460083,"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":0.6954054832458496},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6287974715232849},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6092989444732666},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.547902524471283},{"id":"https://openalex.org/keywords/ideology","display_name":"Ideology","score":0.4577151834964752},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.42755356431007385},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.42199188470840454},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.32679635286331177},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2259487807750702},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14251577854156494},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11675584316253662}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6954054832458496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6287974715232849},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6092989444732666},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.547902524471283},{"id":"https://openalex.org/C158071213","wikidata":"https://www.wikidata.org/wiki/Q7257","display_name":"Ideology","level":3,"score":0.4577151834964752},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.42755356431007385},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.42199188470840454},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.32679635286331177},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2259487807750702},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14251577854156494},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11675584316253662},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2018/5736030","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/5736030","pdf_url":"http://downloads.hindawi.com/journals/complexity/2018/5736030.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:5736030","is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/8503/2018/5736030.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:39907964973d4740aac0c86b63a5a989","is_oa":true,"landing_page_url":"https://doaj.org/article/39907964973d4740aac0c86b63a5a989","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complexity, Vol 2018 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2018/5736030","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/5736030","pdf_url":"http://downloads.hindawi.com/journals/complexity/2018/5736030.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":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2897928318.pdf","grobid_xml":"https://content.openalex.org/works/W2897928318.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1820051232","https://openalex.org/W1970827582","https://openalex.org/W1993717606","https://openalex.org/W2032180816","https://openalex.org/W2038128936","https://openalex.org/W2058595220","https://openalex.org/W2071965987","https://openalex.org/W2087182900","https://openalex.org/W2092986776","https://openalex.org/W2096720260","https://openalex.org/W2145113795","https://openalex.org/W2149723649","https://openalex.org/W2165967751","https://openalex.org/W2168618665","https://openalex.org/W2185477803","https://openalex.org/W2327685012","https://openalex.org/W2329338545","https://openalex.org/W2738226240","https://openalex.org/W2884330276","https://openalex.org/W2887576641","https://openalex.org/W2888649178","https://openalex.org/W2919115771"],"related_works":["https://openalex.org/W31220157","https://openalex.org/W2312753042","https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W3186837933","https://openalex.org/W2368989808","https://openalex.org/W1969346022","https://openalex.org/W2034959125","https://openalex.org/W2355687852"],"abstract_inverted_index":{"The":[0],"mind":[1],"status":[2],"of":[3,89,104],"college":[4],"students":[5],"is":[6,16,70,97,129],"important":[7],"since":[8],"it":[9],"can":[10,26,59,145,156],"reflect":[11],"how":[12],"the":[13,20,23,31,40,44,52,57,63,67,73,80,90,93,95,105,108,111,117,123,140,149,153],"public":[14],"opinion":[15],"going.":[17],"Only":[18],"with":[19,148],"accurate":[21],"prediction,":[22],"corresponding":[24],"actions":[25],"be":[27,60,157],"conducted":[28],"to":[29,50,66,116],"prevent":[30],"situation":[32],"from":[33],"going":[34],"worse.":[35],"This":[36],"paper":[37],"focused":[38],"on":[39],"data":[41,74,102,132],"analysis":[42,133],"using":[43,79,126,142],"recent":[45],"developed":[46],"broad":[47,124,143],"learning":[48,53,125,144,154],"method":[49],"obtain":[51],"model":[54],"and":[55,77,83,92,99,110,120,152],"then":[56],"prediction":[58],"done.":[61],"Firstly,":[62],"questionnaire":[64],"related":[65],"ideological":[68],"state":[69],"designed.":[71],"Secondly,":[72],"are":[75,113],"collected":[76],"classified":[78],"typical":[81],"questions":[82,119],"answers.":[84],"Thirdly,":[85],"for":[86,131,159],"each":[87],"pair":[88],"question":[91],"answer,":[94],"score":[96],"obtained":[98],"considered":[100],"as":[101],"training":[103],"system.":[106],"Fourthly,":[107],"input":[109],"output":[112],"selected":[114],"according":[115],"key":[118],"conclusions.":[121],"Finally,":[122],"flat":[127],"network":[128,155],"employed":[130],"without":[134],"deep":[135],"structure.":[136],"Tests":[137],"show":[138],"that":[139],"design":[141],"efficiently":[146],"deal":[147],"regression":[150],"problem":[151],"used":[158],"prediction.":[160]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}