{"id":"https://openalex.org/W4403351112","doi":"https://doi.org/10.1145/3695080.3695118","title":"Application of Principal Component Neural Network in Stock Price Prediction","display_name":"Application of Principal Component Neural Network in Stock Price Prediction","publication_year":2024,"publication_date":"2024-07-26","ids":{"openalex":"https://openalex.org/W4403351112","doi":"https://doi.org/10.1145/3695080.3695118"},"language":"en","primary_location":{"id":"doi:10.1145/3695080.3695118","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3695080.3695118","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Cloud Computing and Big Data","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"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/A5022894360","display_name":"Xianfang Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianfang Tang","raw_affiliation_strings":["Xi'an Mingde Institute of Technology, China"],"raw_orcid":"https://orcid.org/0009-0001-7661-4434","affiliations":[{"raw_affiliation_string":"Xi'an Mingde Institute of Technology, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011813275","display_name":"Xianlong Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianlong Cai","raw_affiliation_strings":["Xi'an Mingde Institute of Technology, China"],"raw_orcid":"https://orcid.org/0009-0002-1445-6394","affiliations":[{"raw_affiliation_string":"Xi'an Mingde Institute of Technology, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"last","author":{"id":null,"display_name":"Fuqiang Wang","orcid":"https://orcid.org/0009-0004-0180-0269"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuqiang Wang","raw_affiliation_strings":["Xi'an Mingde Institute of Technology, China"],"raw_orcid":"https://orcid.org/0009-0004-0180-0269","affiliations":[{"raw_affiliation_string":"Xi'an Mingde Institute of Technology, China","institution_ids":["https://openalex.org/I4210131919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210131919"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"217","last_page":"221"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9003999829292297,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9003999829292297,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/principal-component-analysis","display_name":"Principal component analysis","score":0.7673561573028564},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.67210853099823},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6407407522201538},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5261192917823792},{"id":"https://openalex.org/keywords/stock-price","display_name":"Stock price","score":0.4757772982120514},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.4364956021308899},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4263139069080353},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09715038537979126},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.054797470569610596},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.04601898789405823}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7673561573028564},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.67210853099823},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6407407522201538},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5261192917823792},{"id":"https://openalex.org/C2988984586","wikidata":"https://www.wikidata.org/wiki/Q1020013","display_name":"Stock price","level":3,"score":0.4757772982120514},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.4364956021308899},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4263139069080353},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09715038537979126},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.054797470569610596},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.04601898789405823},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3695080.3695118","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3695080.3695118","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Cloud Computing and Big Data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2314346063","https://openalex.org/W4316371752"],"related_works":["https://openalex.org/W247222457","https://openalex.org/W1488120909","https://openalex.org/W3124131549","https://openalex.org/W3008476150","https://openalex.org/W2152348935","https://openalex.org/W2887069341","https://openalex.org/W2554106722","https://openalex.org/W1797892342","https://openalex.org/W4240248738","https://openalex.org/W2093710055"],"abstract_inverted_index":{"A":[0],"stock":[1,26,91],"price":[2,92],"principal":[3,13],"component":[4,14],"neural":[5,18,84],"network":[6,19],"prediction":[7,70,78,102,108],"model":[8,79],"was":[9,98,110],"established":[10],"by":[11,122],"combining":[12],"analysis":[15,48],"and":[16,38,45,68,112,125],"BP":[17,83],"to":[20,31],"address":[21],"the":[22,42,51,58,62,69,77,90,94,113],"non-linear":[23],"characteristics":[24],"of":[25,36,61,76],"opening":[27],"prices.":[28],"Using":[29],"Python":[30],"crawl":[32],"historical":[33],"market":[34],"data":[35],"Shanghai":[37],"Shenzhen":[39],"300":[40],"from":[41],"BaoStock":[43],"system,":[44],"conducting":[46],"empirical":[47],"based":[49],"on":[50],"crawled":[52],"data.":[53],"The":[54,107],"results":[55,115],"show":[56],"that":[57,75],"relative":[59],"error":[60,103],"training":[63],"is":[64,72],"controlled":[65,104],"within":[66,105],"4%,":[67],"accuracy":[71],"higher":[73],"than":[74],"constructed":[80],"solely":[81],"using":[82],"network.":[85],"Finally,":[86],"through":[87],"misalignment":[88],"training,":[89],"for":[93,120],"next":[95],"5":[96],"days":[97],"predicted":[99],"with":[100],"a":[101],"4%.":[106],"effect":[109],"good,":[111],"research":[114],"can":[116],"provide":[117],"valuable":[118],"reference":[119],"decision-making":[121],"relevant":[123],"departments":[124],"investors.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}