{"id":"https://openalex.org/W3214223388","doi":"https://doi.org/10.1155/2021/3766980","title":"Environmental Efficiency Evaluation Method Based on Data Envelopment Analysis and Improved Neural Network","display_name":"Environmental Efficiency Evaluation Method Based on Data Envelopment Analysis and Improved Neural Network","publication_year":2021,"publication_date":"2021-11-15","ids":{"openalex":"https://openalex.org/W3214223388","doi":"https://doi.org/10.1155/2021/3766980","mag":"3214223388"},"language":"en","primary_location":{"id":"doi:10.1155/2021/3766980","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2021/3766980","pdf_url":"https://downloads.hindawi.com/journals/misy/2021/3766980.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/misy/2021/3766980.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101416165","display_name":"Chao Yang","orcid":"https://orcid.org/0000-0002-0374-4991"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Yang","raw_affiliation_strings":["School of Economics and Management, University of Science and Technology Beijing, Beijing100083, China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, University of Science and Technology Beijing, Beijing100083, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025225581","display_name":"Feng He","orcid":"https://orcid.org/0000-0003-4301-3058"},"institutions":[{"id":"https://openalex.org/I4210165606","display_name":"Hubei Normal University","ror":"https://ror.org/056y3dw16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210165606"]},{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng He","raw_affiliation_strings":["College of Economics Management and Law, Hubei Normal University, Huangshi 435002, China","School of Economics and Management, University of Science and Technology Beijing, Beijing100083, China"],"affiliations":[{"raw_affiliation_string":"College of Economics Management and Law, Hubei Normal University, Huangshi 435002, China","institution_ids":["https://openalex.org/I4210165606"]},{"raw_affiliation_string":"School of Economics and Management, University of Science and Technology Beijing, Beijing100083, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111246253","display_name":"Chang Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141732","display_name":"China National Petroleum and Chemical Planning Institute","ror":"https://ror.org/048xn9q22","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210141732"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Ren","raw_affiliation_strings":["CNPCPetrochina Planning and Engineering Institute, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"CNPCPetrochina Planning and Engineering Institute, Beijing 100083, China","institution_ids":["https://openalex.org/I4210141732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101416165"],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.716,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74013428,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2021","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10357","display_name":"Efficiency Analysis Using DEA","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10357","display_name":"Efficiency Analysis Using DEA","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10438","display_name":"Energy, Environment, Economic Growth","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11954","display_name":"Energy Efficiency and Management","score":0.9793999791145325,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/data-envelopment-analysis","display_name":"Data envelopment analysis","score":0.835979700088501},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7665114998817444},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.6165480613708496},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5964248776435852},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.582512617111206},{"id":"https://openalex.org/keywords/investment","display_name":"Investment (military)","score":0.5737047791481018},{"id":"https://openalex.org/keywords/environmental-pollution","display_name":"Environmental pollution","score":0.5477421283721924},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.5444146990776062},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.501230001449585},{"id":"https://openalex.org/keywords/environmental-economics","display_name":"Environmental economics","score":0.46240857243537903},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4462842643260956},{"id":"https://openalex.org/keywords/macro","display_name":"Macro","score":0.41611573100090027},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.21866938471794128},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17920401692390442},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.12135240435600281},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.09059911966323853}],"concepts":[{"id":"https://openalex.org/C22088475","wikidata":"https://www.wikidata.org/wiki/Q647974","display_name":"Data envelopment analysis","level":2,"score":0.835979700088501},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7665114998817444},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.6165480613708496},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5964248776435852},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.582512617111206},{"id":"https://openalex.org/C27548731","wikidata":"https://www.wikidata.org/wiki/Q88272","display_name":"Investment (military)","level":3,"score":0.5737047791481018},{"id":"https://openalex.org/C2909468537","wikidata":"https://www.wikidata.org/wiki/Q58734","display_name":"Environmental pollution","level":2,"score":0.5477421283721924},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.5444146990776062},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.501230001449585},{"id":"https://openalex.org/C134560507","wikidata":"https://www.wikidata.org/wiki/Q753291","display_name":"Environmental economics","level":1,"score":0.46240857243537903},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4462842643260956},{"id":"https://openalex.org/C166955791","wikidata":"https://www.wikidata.org/wiki/Q629579","display_name":"Macro","level":2,"score":0.41611573100090027},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.21866938471794128},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17920401692390442},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.12135240435600281},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.09059911966323853},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C526734887","wikidata":"https://www.wikidata.org/wiki/Q832237","display_name":"Environmental protection","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2021/3766980","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2021/3766980","pdf_url":"https://downloads.hindawi.com/journals/misy/2021/3766980.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0397182ca1164451955295a1f2522090","is_oa":true,"landing_page_url":"https://doaj.org/article/0397182ca1164451955295a1f2522090","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":"Mobile Information Systems, Vol 2021 (2021)","raw_type":"article"},{"id":"pmh:oai:hindawi.com:10.1155/2021/3766980","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/3766980","pdf_url":null,"source":{"id":"https://openalex.org/S4306400340","display_name":"Hindawi Journal of Chemistry (Hindawi)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210126990","host_organization_name":"Hindawi (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210126990"],"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":"","raw_type":"Research Article"}],"best_oa_location":{"id":"doi:10.1155/2021/3766980","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2021/3766980","pdf_url":"https://downloads.hindawi.com/journals/misy/2021/3766980.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.5799999833106995,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G1897141474","display_name":null,"funder_award_id":"FRF-BR-19-006A","funder_id":"https://openalex.org/F4320322392","funder_display_name":"Tsinghua University"},{"id":"https://openalex.org/G1993795761","display_name":null,"funder_award_id":"71673022","funder_id":"https://openalex.org/F4320322392","funder_display_name":"Tsinghua University"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G355389098","display_name":null,"funder_award_id":"TISD201902","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3681178050","display_name":null,"funder_award_id":"TISD201902","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3744313044","display_name":null,"funder_award_id":"Social","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4178598719","display_name":null,"funder_award_id":"201902","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4439602770","display_name":null,"funder_award_id":"FRF-BR-19-006A","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G491953459","display_name":null,"funder_award_id":"TISD201902","funder_id":"https://openalex.org/F4320322392","funder_display_name":"Tsinghua University"},{"id":"https://openalex.org/G5033570914","display_name":null,"funder_award_id":"17LJB004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5167091242","display_name":null,"funder_award_id":"No. 1","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5501532145","display_name":null,"funder_award_id":"7167302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5900793674","display_name":null,"funder_award_id":"71673022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6221129898","display_name":null,"funder_award_id":"17LJB004","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7055247507","display_name":null,"funder_award_id":"71673022","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7406465742","display_name":null,"funder_award_id":"201902","funder_id":"https://openalex.org/F4320322392","funder_display_name":"Tsinghua University"},{"id":"https://openalex.org/G7696269471","display_name":null,"funder_award_id":"17LJB004","funder_id":"https://openalex.org/F4320322392","funder_display_name":"Tsinghua University"},{"id":"https://openalex.org/G7909859453","display_name":null,"funder_award_id":"FRF-BR-19-006A","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322392","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3214223388.pdf","grobid_xml":"https://content.openalex.org/works/W3214223388.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W2053654472","https://openalex.org/W2076452041","https://openalex.org/W2162180338","https://openalex.org/W2299793534","https://openalex.org/W2329849014","https://openalex.org/W2342402011","https://openalex.org/W2513000544","https://openalex.org/W2745981978","https://openalex.org/W2904828382","https://openalex.org/W2907255258","https://openalex.org/W2947196478","https://openalex.org/W3081929460","https://openalex.org/W3143258789","https://openalex.org/W3144942271"],"related_works":["https://openalex.org/W2801360836","https://openalex.org/W2030816003","https://openalex.org/W2120745168","https://openalex.org/W2088845016","https://openalex.org/W589102260","https://openalex.org/W4239992647","https://openalex.org/W2150013480","https://openalex.org/W2736559621","https://openalex.org/W2352291457","https://openalex.org/W1966421350"],"abstract_inverted_index":{"Economic":[0],"development":[1],"in":[2,84,193],"China":[3],"requires":[4],"lots":[5],"of":[6,92,107,115,153,162,184],"energy":[7,17,28,55],"to":[8,13,36,41,54,64,78,103,139],"support":[9],"it,":[10],"but":[11,188],"how":[12],"acquire":[14],"an":[15],"adequate":[16],"supply":[18],"is":[19,30,60,119,137,156,177],"a":[20,31],"difficult":[21],"problem.":[22],"Meantime,":[23],"environmental":[24,58,68,81,93,116,163],"pollution":[25],"caused":[26],"by":[27,158],"consumption":[29],"problem":[32],"that":[33],"immediately":[34],"needs":[35],"be":[37],"solved.":[38],"To":[39],"adapt":[40],"China\u2019s":[42,66],"rapidly":[43],"emerging":[44],"economy,":[45],"and":[46,57,70,95,109,125,141,146,170],"based":[47],"on":[48],"existing":[49],"policies,":[50],"giving":[51],"more":[52,61],"consideration":[53],"saving":[56],"safety":[59],"important.":[62],"Therefore,":[63],"investigate":[65],"regional":[67],"efficiency":[69,82,94,106,117,127,164,186],"its":[71],"factors":[72],"has":[73],"key":[74],"importance.":[75],"In":[76],"order":[77],"evaluate":[79],"the":[80,97,105,112,122,126,130,143,154,160,167,172,182],"input":[83,108,118,123],"China,":[85],"this":[86],"study":[87],"first":[88],"selects":[89],"some":[90],"indexes":[91],"applies":[96],"Data":[98],"Envelopment":[99],"Analysis":[100],"(DAE)":[101],"method":[102,176],"measure":[104],"output.":[110],"Then,":[111],"relative":[113],"index":[114,161],"selected":[120],"as":[121,129],"variable":[124],"value":[128],"output":[131],"variable.":[132],"The":[133,151],"Backpropagation":[134],"neural":[135],"network":[136],"employed":[138],"learn":[140],"establish":[142],"prediction":[144,149],"model":[145,155],"achieve":[147],"high":[148],"accuracy.":[150],"performance":[152],"improved":[157],"optimizing":[159],"investment,":[165,187],"adopting":[166],"latest":[168],"data,":[169],"increasing":[171],"learning":[173],"samples.":[174],"This":[175],"not":[178],"only":[179],"suitable":[180,190],"for":[181,191],"evaluation":[183],"macro-environmental":[185],"also":[189],"enterprises":[192],"specific":[194],"industries.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}