{"id":"https://openalex.org/W2393690977","doi":null,"title":"Stock Market Forecasting and Decision-making Based on Neural Network","display_name":"Stock Market Forecasting and Decision-making Based on Neural Network","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W2393690977","mag":"2393690977"},"language":"en","primary_location":{"id":"mag:2393690977","doi":null,"is_oa":false,"landing_page_url":"https://en.cnki.com.cn/Article_en/CJFDTOTAL-XTLL200305001.htm","pdf_url":null,"source":{"id":"https://openalex.org/S88664677","display_name":"Systems Engineering - Theory & Practice","issn_l":"1874-8651","issn":["1874-8651"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Systems Engineering - Theory & Practice","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083257633","display_name":"Jianliang Yu","orcid":"https://orcid.org/0000-0002-7041-9312","observed_orcids":["https://orcid.org/0000-0002-7041-9312"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yu Jian","raw_affiliation_strings":["\\|li\\+1, SUN Zeng\\|qi\\+2, Valeri Kroumov\\+3,  Hiroyuki Narihisa\\+4, LIU Zhi\\|jun\\+1"],"raw_orcid":"https://orcid.org/0000-0002-7041-9312","affiliations":[{"raw_affiliation_string":"\\|li\\+1, SUN Zeng\\|qi\\+2, Valeri Kroumov\\+3,  Hiroyuki Narihisa\\+4, LIU Zhi\\|jun\\+1","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5083257633"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":1.0,"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/T11326","display_name":"Stock Market Forecasting Methods","score":1.0,"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/T10320","display_name":"Neural Networks and Applications","score":9.999999747378752e-05,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.0,"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/stock-market-forecasting","display_name":"stock market prediction","score":0.9919999837875366},{"id":"https://openalex.org/keywords/trading-decision-making","display_name":"trading decision-making","score":0.699999988079071},{"id":"https://openalex.org/keywords/back-propagation-neural-network","display_name":"BP neural network","score":0.8519999980926514},{"id":"https://openalex.org/keywords/buy-and-sell-decisions","display_name":"buy and sell decisions","score":0.7950000166893005},{"id":"https://openalex.org/keywords/stock-market-modeling","display_name":"stock market modeling","score":0.6850000023841858},{"id":"https://openalex.org/keywords/input-feature-selection","display_name":"input feature selection","score":0.4440000057220459}],"concepts":[{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.7193549275398254},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7163081169128418},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.6169333457946777},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48856624960899353},{"id":"https://openalex.org/C2776256503","wikidata":"https://www.wikidata.org/wiki/Q7617906","display_name":"Stock market prediction","level":4,"score":0.46092769503593445},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3880530893802643},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.37643104791641235},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3554479777812958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32792025804519653},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.24504020810127258},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1175566017627716},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C2780762169","wikidata":"https://www.wikidata.org/wiki/Q5905368","display_name":"Horse","level":2,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2393690977","doi":null,"is_oa":false,"landing_page_url":"https://en.cnki.com.cn/Article_en/CJFDTOTAL-XTLL200305001.htm","pdf_url":null,"source":{"id":"https://openalex.org/S88664677","display_name":"Systems Engineering - Theory & Practice","issn_l":"1874-8651","issn":["1874-8651"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Systems Engineering - Theory & Practice","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3132311475","https://openalex.org/W1947313183","https://openalex.org/W2171174802","https://openalex.org/W2379044280","https://openalex.org/W2369229064","https://openalex.org/W2373315087","https://openalex.org/W2384976768","https://openalex.org/W4210751108","https://openalex.org/W2003792153","https://openalex.org/W2164149385"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,11,34],"method":[4,67],"based":[5],"on":[6],"BP":[7],"neural":[8],"network":[9],"for":[10],"stock":[12,25,58],"market":[13,26],"modeling,":[14],"forecasting":[15,19],"and":[16,20],"deciding.":[17],"A":[18],"deciding":[21],"system":[22],"of":[23,49],"the":[24,41,57,65],"has":[27],"been":[28],"studied":[29],"successfully,":[30],"which":[31],"can":[32],"make":[33],"decision":[35],"whether":[36],"buying":[37],"or":[38],"selling":[39],"in":[40],"next":[42],"trade":[43],"day,":[44],"only":[45],"needing":[46],"seven":[47],"pieces":[48],"inputted":[50],"information":[51],"that":[52,64],"are":[53],"sampled":[54],"easily":[55],"from":[56],"market.":[59],"The":[60],"simulation":[61],"results":[62],"show":[63],"proposed":[66],"is":[68],"effective.":[69]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-10-10T17:16:08.811792","created_date":"2016-06-24T00:00:00"}
