{"id":"https://openalex.org/W3135820636","doi":"https://doi.org/10.1155/2021/5392170","title":"The Complex Neural Network Model for Mass Appraisal and Scenario Forecasting of the Urban Real Estate Market Value That Adapts Itself to Space and Time","display_name":"The Complex Neural Network Model for Mass Appraisal and Scenario Forecasting of the Urban Real Estate Market Value That Adapts Itself to Space and Time","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3135820636","doi":"https://doi.org/10.1155/2021/5392170","mag":"3135820636"},"language":"en","primary_location":{"id":"doi:10.1155/2021/5392170","doi":"https://doi.org/10.1155/2021/5392170","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/5392170","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/5392170.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,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","poland-70","russia-white-list-1","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":"Complexity","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/complexity/2021/5392170.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086493587","display_name":"Leonid N. Yasnitsky","orcid":"https://orcid.org/0000-0002-8212-3826","observed_orcids":["https://orcid.org/0000-0002-8212-3826"]},"institutions":[{"id":"https://openalex.org/I105056648","display_name":"Perm State University","ror":"https://ror.org/029njb796","country_code":"RU","type":"education","lineage":["https://openalex.org/I105056648"]},{"id":"https://openalex.org/I118501908","display_name":"National Research University Higher School of Economics","ror":"https://ror.org/055f7t516","country_code":"RU","type":"education","lineage":["https://openalex.org/I118501908"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Leonid N. Yasnitsky","raw_affiliation_strings":["Faculty of Business Informatics, Higher School of Economics, Perm 614070, Russia","Faculty of Mechanics and Mathematics, Perm State University, Perm 614990, Russia psu.ru","Faculty of Mechanics and Mathematics, Perm State University, Perm 614990, Russia"],"raw_orcid":"https://orcid.org/0000-0002-8212-3826","affiliations":[{"raw_affiliation_string":"Faculty of Business Informatics, Higher School of Economics, Perm 614070, Russia","institution_ids":["https://openalex.org/I118501908"]},{"raw_affiliation_string":"Faculty of Mechanics and Mathematics, Perm State University, Perm 614990, Russia psu.ru","institution_ids":["https://openalex.org/I105056648"]},{"raw_affiliation_string":"Faculty of Mechanics and Mathematics, Perm State University, Perm 614990, Russia","institution_ids":["https://openalex.org/I105056648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015368034","display_name":"\u042f\u0441\u043d\u0438\u0446\u043a\u0438\u0439 \u0412\u0438\u0442\u0430\u043b\u0438\u0439 \u041b\u0435\u043e\u043d\u0438\u0434\u043e\u0432\u0438\u0447","orcid":"https://orcid.org/0000-0002-8881-533X","observed_orcids":["https://orcid.org/0000-0002-8881-533X"]},"institutions":[{"id":"https://openalex.org/I3123069486","display_name":"Perm National Research Polytechnic University","ror":"https://ror.org/05c0ns027","country_code":"RU","type":"education","lineage":["https://openalex.org/I3123069486"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Vitaly L. Yasnitsky","raw_affiliation_strings":["Civil Engineering Faculty, Perm National Research Polytechnic University, Perm 614990, Russia pstu.ru","Civil Engineering Faculty, Perm National Research Polytechnic University, Perm 614990, Russia"],"raw_orcid":"https://orcid.org/0000-0002-8881-533X","affiliations":[{"raw_affiliation_string":"Civil Engineering Faculty, Perm National Research Polytechnic University, Perm 614990, Russia pstu.ru","institution_ids":["https://openalex.org/I3123069486"]},{"raw_affiliation_string":"Civil Engineering Faculty, Perm National Research Polytechnic University, Perm 614990, Russia","institution_ids":["https://openalex.org/I3123069486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007766643","display_name":"Alexander Alekseev","orcid":"https://orcid.org/0000-0001-5033-6694","observed_orcids":["https://orcid.org/0000-0001-5033-6694"]},"institutions":[{"id":"https://openalex.org/I3123069486","display_name":"Perm National Research Polytechnic University","ror":"https://ror.org/05c0ns027","country_code":"RU","type":"education","lineage":["https://openalex.org/I3123069486"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Aleksander O. Alekseev","raw_affiliation_strings":["Civil Engineering Faculty, Perm National Research Polytechnic University, Perm 614990, Russia pstu.ru","Civil Engineering Faculty, Perm National Research Polytechnic University, Perm 614990, Russia"],"raw_orcid":"https://orcid.org/0000-0001-5033-6694","affiliations":[{"raw_affiliation_string":"Civil Engineering Faculty, Perm National Research Polytechnic University, Perm 614990, Russia pstu.ru","institution_ids":["https://openalex.org/I3123069486"]},{"raw_affiliation_string":"Civil Engineering Faculty, Perm National Research Polytechnic University, Perm 614990, Russia","institution_ids":["https://openalex.org/I3123069486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086493587"],"corresponding_institution_ids":["https://openalex.org/I105056648","https://openalex.org/I118501908"],"apc_list":{"value":2760,"currency":"USD","value_usd":2760},"apc_paid":{"value":2760,"currency":"USD","value_usd":2760},"fwci":4.5166,"has_fulltext":true,"cited_by_count":52,"citation_normalized_percentile":{"value":0.94756171,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"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/T10632","display_name":"Housing Market and Economics","score":0.9179999828338623,"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"}},"topics":[{"id":"https://openalex.org/T10632","display_name":"Housing Market and Economics","score":0.9179999828338623,"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/T13920","display_name":"Urban Planning and Valuation","score":0.05869999900460243,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.007899999618530273,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/property-valuation","display_name":"property valuation","score":0.7950000166893005},{"id":"https://openalex.org/keywords/urban-real-estate-market","display_name":"urban real estate market","score":0.8629999756813049},{"id":"https://openalex.org/keywords/neural-network-model","display_name":"neural network model","score":0.8289999961853027},{"id":"https://openalex.org/keywords/mass-appraisal","display_name":"mass appraisal","score":0.8640000224113464},{"id":"https://openalex.org/keywords/scenario-based-forecasting","display_name":"scenario forecasting","score":0.9279999732971191},{"id":"https://openalex.org/keywords/macroeconomic-indicators","display_name":"macroeconomic indicators","score":0.7799999713897705},{"id":"https://openalex.org/keywords/russian-cities","display_name":"Russian cities","score":0.7590000033378601},{"id":"https://openalex.org/keywords/property-tax-assessment","display_name":"property tax assessment","score":0.6259999871253967},{"id":"https://openalex.org/keywords/cadastral-valuation","display_name":"cadastral valuation","score":0.8180000185966492}],"concepts":[{"id":"https://openalex.org/C82279013","wikidata":"https://www.wikidata.org/wiki/Q684740","display_name":"Real estate","level":2,"score":0.6842188835144043},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6663392186164856},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5729615092277527},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.549595057964325},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.45350387692451477},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3895610570907593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3411003053188324},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3384323716163635},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.2183811366558075},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1966414451599121},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1928139626979828},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.19193246960639954},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2021/5392170","doi":"https://doi.org/10.1155/2021/5392170","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/5392170","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/5392170.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,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","poland-70","russia-white-list-1","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":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:hin:complx:5392170","doi":null,"is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/complexity/2021/5392170.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,"listed_in":[],"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:e8c58e4518054cccafb43a3e2b67ec4e","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/e8c58e4518054cccafb43a3e2b67ec4e","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":"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 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/5392170","doi":"https://doi.org/10.1155/2021/5392170","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/5392170","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/5392170.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,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","poland-70","russia-white-list-1","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":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.761900007724762}],"study_designs":[],"awards":[{"id":"https://openalex.org/G636522843","display_name":null,"funder_award_id":"19-010-00307","funder_id":"https://openalex.org/F4320321079","funder_display_name":"Russian Foundation for Basic Research"}],"funders":[{"id":"https://openalex.org/F4320321079","display_name":"Russian Foundation for Basic Research","ror":"https://ror.org/02mh1ke95"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3135820636.pdf","grobid_xml":"https://content.openalex.org/works/W3135820636.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W235345021","https://openalex.org/W1163423353","https://openalex.org/W1522981673","https://openalex.org/W1988980926","https://openalex.org/W2009943061","https://openalex.org/W2033230471","https://openalex.org/W2035166105","https://openalex.org/W2044090912","https://openalex.org/W2056195340","https://openalex.org/W2061532052","https://openalex.org/W2068400611","https://openalex.org/W2070300253","https://openalex.org/W2143908786","https://openalex.org/W2163427003","https://openalex.org/W2317758119","https://openalex.org/W2506931883","https://openalex.org/W2549984650","https://openalex.org/W2585458859","https://openalex.org/W2733545153","https://openalex.org/W2742761449","https://openalex.org/W2786598843","https://openalex.org/W2790725215","https://openalex.org/W2896373023","https://openalex.org/W2897952291","https://openalex.org/W2908163441","https://openalex.org/W2949749508","https://openalex.org/W2951282667","https://openalex.org/W2962281708","https://openalex.org/W2966510182","https://openalex.org/W3033853839","https://openalex.org/W3042408356","https://openalex.org/W4230237964","https://openalex.org/W7045447578"],"related_works":["https://openalex.org/W4391419463","https://openalex.org/W4285742718","https://openalex.org/W1577819018","https://openalex.org/W4400734471","https://openalex.org/W859396555","https://openalex.org/W3122663715","https://openalex.org/W7054876554","https://openalex.org/W4400644360","https://openalex.org/W2370324402","https://openalex.org/W2790725215"],"abstract_inverted_index":{"In":[0,80],"the":[1,10,26,65,98,109,113,121,157,217,226,236,242,258,268,272,275,282,290,298,303,306,315,327],"modern":[2],"scientific":[3],"literature,":[4],"there":[5,101],"are":[6,32,56,84,91,102,132],"many":[7,177,265],"reports":[8],"about":[9],"successful":[11],"application":[12],"of":[13,41,112,142,159,220,230,244,247,254,274,284,289,305,317,342,347],"neural":[14,33,192,237],"network":[15,34,193,238],"technologies":[16],"for":[17,24,86,94,135,172,232,257,278,325,366],"solving":[18,326],"complex":[19,153],"applied":[20],"problems,":[21],"in":[22,125,176,251],"particular,":[23],"modeling":[25],"urban":[27],"real":[28,42,126,137,174,248],"estate":[29,43,127,138,175,249],"market.":[30],"There":[31],"models":[35,55,105,131],"that":[36,155,215],"can":[37,353],"perform":[38],"mass":[39,136],"assessment":[40,365],"objects":[44],"taking":[45,106],"into":[46,63,107,313],"account":[47,64,108,314],"their":[48],"construction":[49,199,345],"and":[50,76,115,119,150,162,200,207,225,234,287,292,310,335,339,344],"operational":[51,201,336],"characteristics.":[52],"However,":[53],"these":[54],"static":[57,161],"because":[58],"they":[59,72,83,90],"do":[60],"not":[61,92,133],"take":[62],"changing":[66],"economic":[67,218,276,308,331],"situation":[68,124,309],"over":[69],"time.":[70],"Therefore,":[71],"quickly":[73],"become":[74],"outdated":[75],"need":[77],"frequent":[78],"updates.":[79],"addition,":[81],"if":[82],"designed":[85,116],"a":[87,148,152,191,221,252],"specific":[88,222],"city,":[89],"suitable":[93,171,324],"other":[95,99],"cities.":[96],"On":[97],"hand,":[100],"several":[103],"dynamic":[104,130,163],"overall":[110,122],"state":[111,219],"economy":[114],"to":[117,146,262,271,296,322,361],"predict":[118],"study":[120],"price":[123],"markets.":[128],"Such":[129],"intended":[134],"appraisals.":[139],"The":[140,319,351],"aim":[141,182],"this":[143],"article":[144],"is":[145,183,188],"develop":[147],"methodology":[149],"create":[151],"model":[154,168,187,299,320,352],"has":[156],"properties":[158],"both":[160,198],"models.":[164],"Moreover,":[165],"our":[166,186],"comprehensive":[167],"should":[169],"be":[170,323,355],"evaluating":[173],"cities":[178,256],"at":[179],"once.":[180],"This":[181],"achieved":[184],"since":[185],"based":[189],"on":[190,195,241],"trained":[194],"examples":[196,231,266],"considering":[197],"characteristics,":[202,209],"as":[203,205],"well":[204],"geographical":[206],"environmental":[208],"along":[210,280],"with":[211,281,302],"time\u2010changing":[212],"macroeconomic":[213],"parameters":[214],"describe":[216],"region,":[223],"country,":[224],"world.":[227],"A":[228],"set":[229],"training":[233],"testing":[235],"were":[239],"formed":[240],"basis":[243],"statistical":[245],"data":[246,269],"markets":[250],"number":[253],"Russian":[255,291],"period":[259],"from":[260],"2006":[261],"2020.":[263],"Thus,":[264],"included":[267],"relating":[270],"periods":[273,283],"calm":[277],"Russia,":[279],"crisis,":[285],"recovery,":[286],"growth":[288],"global":[293],"economy.":[294],"Due":[295],"this,":[297],"remains":[300],"relevant":[301],"changes":[304],"international":[307],"it":[311],"takes":[312],"specifics":[316],"regions.":[318],"proved":[321],"following":[328],"tasks:":[329],"industrial":[330],"analysis,":[332],"company":[333],"strategic":[334],"management,":[337],"analytical":[338],"consulting":[340],"support":[341],"investment,":[343],"activities":[346],"professional":[348],"market":[349],"participants.":[350],"also":[354],"used":[356],"by":[357],"government":[358],"agencies":[359],"authorized":[360],"conduct":[362],"public":[363],"cadastral":[364],"calculating":[367],"property":[368],"taxes.":[369]},"counts_by_year":[{"year":2026,"cited_by_count":13},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2021-03-15T00:00:00"}