{"id":"https://openalex.org/W4296286726","doi":"https://doi.org/10.1155/2022/2288358","title":"Cultural Heritage Resource Development and Industrial Transformation Resource Value Assessment Based on BP Neural Network","display_name":"Cultural Heritage Resource Development and Industrial Transformation Resource Value Assessment Based on BP Neural Network","publication_year":2022,"publication_date":"2022-09-19","ids":{"openalex":"https://openalex.org/W4296286726","doi":"https://doi.org/10.1155/2022/2288358","pmid":"https://pubmed.ncbi.nlm.nih.gov/36172326","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/9512614"},"language":"en","primary_location":{"id":"doi:10.1155/2022/2288358","doi":"https://doi.org/10.1155/2022/2288358","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/2288358","pdf_url":"https://downloads.hindawi.com/journals/cin/2022/2288358.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,"listed_in":["anvur-scientific","cwts-core","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"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"},"volume":null,"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cin/2022/2288358.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022937099","display_name":"Xinyu Liu","orcid":"https://orcid.org/0000-0002-7014-884X","observed_orcids":["https://orcid.org/0000-0002-7014-884X"]},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Xinyu Liu","raw_affiliation_strings":["School of Performance and Cultural Industries, University of Leeds, Leeds LS2 9JT, Leeds, UK"],"raw_orcid":"https://orcid.org/0000-0002-7014-884X","affiliations":[{"raw_affiliation_string":"School of Performance and Cultural Industries, University of Leeds, Leeds LS2 9JT, Leeds, UK","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100340460","display_name":"Yujie Li","orcid":"https://orcid.org/0000-0002-9413-096X","observed_orcids":["https://orcid.org/0000-0002-9413-096X"]},"institutions":[{"id":"https://openalex.org/I148099405","display_name":"Xi'an University of Architecture and Technology","ror":"https://ror.org/04v2j2k71","country_code":"CN","type":"education","lineage":["https://openalex.org/I148099405"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie Li","raw_affiliation_strings":["College of Science, Xi\u2019an University of Architecture and Technology, Xi\u2019an 710000, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science, Xi\u2019an University of Architecture and Technology, Xi\u2019an 710000, Shaanxi, China","institution_ids":["https://openalex.org/I148099405"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404246","display_name":"Zihao Zhang","orcid":"https://orcid.org/0009-0004-4946-3265","observed_orcids":["https://orcid.org/0009-0004-4946-3265","https://orcid.org/0009-0008-7711-5822","https://orcid.org/0009-0009-5584-2049"]},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zihao Zhang","raw_affiliation_strings":["School of Computing, University of Leeds, Leeds LS2 9JT, Leeds, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, University of Leeds, Leeds LS2 9JT, Leeds, UK","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010403394","display_name":"Qianzheng Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qianzheng Wang","raw_affiliation_strings":["School of Business, University of Leeds, Leeds LS2 9JT, Leeds, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Business, University of Leeds, Leeds LS2 9JT, Leeds, UK","institution_ids":["https://openalex.org/I130828816"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5022937099"],"corresponding_institution_ids":["https://openalex.org/I130828816"],"apc_list":{"value":2550,"currency":"USD","value_usd":2550},"apc_paid":{"value":2550,"currency":"USD","value_usd":2550},"fwci":7.6479,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.96577243,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":"2022","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11846","display_name":"Cultural Heritage Management and Preservation","score":0.49729999899864197,"subfield":{"id":"https://openalex.org/subfields/1204","display_name":"Archeology (arts and humanities)"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11846","display_name":"Cultural Heritage Management and Preservation","score":0.49729999899864197,"subfield":{"id":"https://openalex.org/subfields/1204","display_name":"Archeology (arts and humanities)"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11410","display_name":"Cultural Industries and Urban Development","score":0.33149999380111694,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"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/T14368","display_name":"Evaluation and Optimization Models","score":0.05649999901652336,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cultural-heritage-resources","display_name":"cultural heritage resources","score":0.9309999942779541},{"id":"https://openalex.org/keywords/industrial-transformation","display_name":"industrial transformation","score":0.8790000081062317},{"id":"https://openalex.org/keywords/creative-industries","display_name":"creative industries","score":0.7260000109672546},{"id":"https://openalex.org/keywords/back-propagation-neural-network","display_name":"BP neural network","score":0.8569999933242798},{"id":"https://openalex.org/keywords/cultural-industries","display_name":"cultural industries","score":0.38600000739097595},{"id":"https://openalex.org/keywords/evaluation-criteria-weighting","display_name":"evaluation criteria weighting","score":0.5839999914169312},{"id":"https://openalex.org/keywords/resource-classification","display_name":"resource classification","score":0.6150000095367432}],"concepts":[{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.7384324669837952},{"id":"https://openalex.org/C60671577","wikidata":"https://www.wikidata.org/wiki/Q210272","display_name":"Cultural heritage","level":2,"score":0.7031518816947937},{"id":"https://openalex.org/C123253695","wikidata":"https://www.wikidata.org/wiki/Q1569871","display_name":"Industrial heritage","level":4,"score":0.662195086479187},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.556844174861908},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5404682159423828},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5278672575950623},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4521139860153198},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.43459323048591614},{"id":"https://openalex.org/C93371752","wikidata":"https://www.wikidata.org/wiki/Q572824","display_name":"Cultural heritage management","level":3,"score":0.3867274820804596},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.32856208086013794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2638404965400696},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15286999940872192},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1401374638080597},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.12887129187583923},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.10248938202857971},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1018349826335907},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.09180185198783875},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D007221","descriptor_name":"Industry","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:10.1155/2022/2288358","doi":"https://doi.org/10.1155/2022/2288358","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/2288358","pdf_url":"https://downloads.hindawi.com/journals/cin/2022/2288358.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,"listed_in":["anvur-scientific","cwts-core","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"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":"pmh:oai:pubmedcentral.nih.gov:9512614","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9512614","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,"listed_in":[],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Comput Intell Neurosci","raw_type":"Text"},{"id":"pmid:36172326","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36172326","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,"listed_in":[],"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":"Journal Article"},{"id":"pmh:oai:doaj.org/article:783fa6ce1ee847739fb2ac30fb6719a0","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/783fa6ce1ee847739fb2ac30fb6719a0","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,"listed_in":[],"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 2022 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2022/2288358","doi":"https://doi.org/10.1155/2022/2288358","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/2288358","pdf_url":"https://downloads.hindawi.com/journals/cin/2022/2288358.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,"listed_in":["anvur-scientific","cwts-core","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"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":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4296286726.pdf","grobid_xml":"https://content.openalex.org/works/W4296286726.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W2520346828","https://openalex.org/W2559460763","https://openalex.org/W2590397521","https://openalex.org/W2741460210","https://openalex.org/W2789269819","https://openalex.org/W2794726811","https://openalex.org/W2797598440","https://openalex.org/W2811440300","https://openalex.org/W2889949636","https://openalex.org/W2898542133","https://openalex.org/W2940138311","https://openalex.org/W2995920186","https://openalex.org/W3108648920","https://openalex.org/W3179163657","https://openalex.org/W4221023773","https://openalex.org/W4281660269","https://openalex.org/W4286210653"],"related_works":["https://openalex.org/W7160524634","https://openalex.org/W2386303497","https://openalex.org/W3189159023","https://openalex.org/W3115344006","https://openalex.org/W4394793141","https://openalex.org/W2364722924","https://openalex.org/W2911288748","https://openalex.org/W4414931860","https://openalex.org/W2348544485","https://openalex.org/W4414394009"],"abstract_inverted_index":{"Mining":[0],"and":[1,6,8,11,31,75,88,106,147,153,157,162,191,199,212,232,252,288,293,302,308,311,315],"utilizing":[2],"cultural":[3,12,27,35,72,99,144,158,187,197,291,305],"heritage":[4,28,36,73,145,159,188,292,306],"resources":[5,37,74,146,276],"creating":[7],"developing":[9],"creative":[10],"industries":[13],"have":[14,39,54,317],"become":[15,47],"the":[16,40,50,69,76,82,91,116,126,129,135,141,151,170,179,183,207,210,223,228,233,245,253,266,286,296,300,312],"priority":[17],"direction":[18],"of":[19,26,43,49,60,65,71,78,111,118,128,143,155,172,181,186,209,275,290,298,304],"economic":[20,246],"development,":[21,30],"setting":[22],"off":[23],"a":[24],"wave":[25],"resource":[29,86,160,173,189,254,270,278],"industrial":[32,44,79,89,148,163,309],"transformation.":[33,80,149],"Which":[34],"can":[38,166,262,281,294],"high":[41],"value":[42,119,130,174,184,200,242,249,258,271,279,301],"transformation":[45,101],"has":[46,226],"one":[48],"research":[51,63,84,92,154],"topics":[52],"that":[53,222],"attracted":[55],"much":[56],"attention.":[57],"In":[58],"view":[59],"this":[61],"problem,":[62],"is":[64,102,243,250,259],"great":[66,112],"significance":[67,113],"to":[68,114,124,169,177,217],"development":[70,87,142,161,190,287,307,313],"field":[77],"With":[81],"in-depth":[83],"on":[85,93,134,206],"transformation,":[90,164,310],"artificial":[94],"neural":[95,137],"network":[96,138],"(ANN)":[97],"in":[98,140],"industry":[100],"gradually":[103],"carried":[104],"out,":[105],"its":[107],"performance":[108,208],"advantages":[109],"are":[110,235],"solve":[115,178],"problem":[117,180],"evaluation.":[120,272],"This":[121,193],"paper":[122,194],"aims":[123],"study":[125],"application":[127],"assessment":[131,175,280],"method":[132,225],"based":[133],"BP":[136],"(BPNN)":[139],"Through":[150],"analysis":[152,205],"BPNN":[156],"it":[165],"be":[167,263],"applied":[168],"construction":[171],"methods":[176],"improving":[182,299],"level":[185,314],"industry.":[192],"analyzes":[195],"BPNN,":[196],"heritage,":[198],"evaluation":[201,224],"methods,":[202],"conducts":[203],"experimental":[204],"algorithm,":[211],"uses":[213],"related":[214],"theoretical":[215,283],"formulas":[216],"explain.":[218],"The":[219,237,273],"results":[220,234],"show":[221],"passed":[227],"random":[229],"consistency":[230],"test,":[231],"valid.":[236],"obtained":[238],"index":[239],"popularity":[240],"weight":[241,248,257],"0.134,":[244],"benefit":[247],"0.093,":[251],"correlation":[255],"degree":[256],"0.074,":[260],"which":[261],"used":[264],"as":[265],"key":[267],"criteria":[268],"for":[269,285],"classification":[274],"through":[277],"provide":[282],"support":[284],"industrialization":[289],"meet":[295],"needs":[297],"quality":[303],"satisfaction":[316],"been":[318],"greatly":[319],"improved.":[320]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2022-09-19T00:00:00"}
