{"id":"https://openalex.org/W3161070973","doi":"https://doi.org/10.1155/2021/8865816","title":"RLSTM: A New Framework of Stock Prediction by Using Random Noise for Overfitting Prevention","display_name":"RLSTM: A New Framework of Stock Prediction by Using Random Noise for Overfitting Prevention","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3161070973","doi":"https://doi.org/10.1155/2021/8865816","mag":"3161070973","pmid":"https://pubmed.ncbi.nlm.nih.gov/34113377"},"language":"en","primary_location":{"id":"doi:10.1155/2021/8865816","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/8865816","pdf_url":"https://downloads.hindawi.com/journals/cin/2021/8865816.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,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"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"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cin/2021/8865816.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110426166","display_name":"Hongying Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I97750245","display_name":"Software (Spain)","ror":"https://ror.org/02ethns06","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210087817","https://openalex.org/I97750245"]}],"countries":["CN","ES"],"is_corresponding":false,"raw_author_name":"Hongying Zheng","raw_affiliation_strings":["School of Software Engineering, Shenzhen Institute of Information Technology, Shenzhen 518172, China","School of Software Engineering, Shenzhen Institute of Information Technology, Shenzhen 518172"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Shenzhen Institute of Information Technology, Shenzhen 518172, China","institution_ids":["https://openalex.org/I158809036"]},{"raw_affiliation_string":"School of Software Engineering, Shenzhen Institute of Information Technology, Shenzhen 518172","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I97750245"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112101240","display_name":"Zhiqiang Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Zhou","raw_affiliation_strings":["Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen 518060, China","Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen 518060"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen 518060, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen 518060","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044377595","display_name":"Jianyong Chen","orcid":"https://orcid.org/0000-0002-6203-1254"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianyong Chen","raw_affiliation_strings":["Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen 518060, China","Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen 518060"],"raw_orcid":"https://orcid.org/0000-0002-6203-1254","affiliations":[{"raw_affiliation_string":"Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen 518060, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen 518060","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5044377595"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":1.9701,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.86180091,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2021","issue":"1","first_page":"8865816","last_page":"8865816"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9944999814033508,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/overfitting","display_name":"Overfitting","score":0.9592702388763428},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6133865118026733},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5089092254638672},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.48112550377845764},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44451814889907837},{"id":"https://openalex.org/keywords/random-noise","display_name":"Random noise","score":0.4204957187175751},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41648513078689575},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3386123776435852},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3262764811515808},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17326265573501587},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15087327361106873},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.12085932493209839}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.9592702388763428},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6133865118026733},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5089092254638672},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.48112550377845764},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44451814889907837},{"id":"https://openalex.org/C2986577269","wikidata":"https://www.wikidata.org/wiki/Q11306265","display_name":"Random noise","level":2,"score":0.4204957187175751},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41648513078689575},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3386123776435852},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3262764811515808},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17326265573501587},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15087327361106873},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.12085932493209839},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007449","descriptor_name":"Investments","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007449","descriptor_name":"Investments","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007449","descriptor_name":"Investments","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007449","descriptor_name":"Investments","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":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057567","descriptor_name":"Memory, Long-Term","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057567","descriptor_name":"Memory, Long-Term","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1155/2021/8865816","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/8865816","pdf_url":"https://downloads.hindawi.com/journals/cin/2021/8865816.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,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"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":"pmid:34113377","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34113377","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,"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":null},{"id":"pmh:oai:doaj.org/article:47394faa1e4341f0b902644d2a86d92c","is_oa":false,"landing_page_url":"https://doaj.org/article/47394faa1e4341f0b902644d2a86d92c","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,"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 2021 (2021)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8154285","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8154285","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,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Comput Intell Neurosci","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2021/8865816","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/8865816","pdf_url":"https://downloads.hindawi.com/journals/cin/2021/8865816.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,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"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":[],"awards":[{"id":"https://openalex.org/G2775550560","display_name":null,"funder_award_id":"KJD2020D004","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G5049919091","display_name":null,"funder_award_id":"S2018A030313420","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G7566477958","display_name":null,"funder_award_id":"SZIIT2020PT094","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3161070973.pdf","grobid_xml":"https://content.openalex.org/works/W3161070973.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1967647846","https://openalex.org/W1967885203","https://openalex.org/W1985258458","https://openalex.org/W2022097384","https://openalex.org/W2024760831","https://openalex.org/W2040503026","https://openalex.org/W2064675550","https://openalex.org/W2095705004","https://openalex.org/W2115472805","https://openalex.org/W2115839797","https://openalex.org/W2137983211","https://openalex.org/W2209610041","https://openalex.org/W2568191022","https://openalex.org/W2609731728","https://openalex.org/W2734986640","https://openalex.org/W2754191969","https://openalex.org/W2765641841","https://openalex.org/W2766243861","https://openalex.org/W2773049109","https://openalex.org/W2865675487","https://openalex.org/W2880915534","https://openalex.org/W2886376102","https://openalex.org/W2919115771","https://openalex.org/W2964413206","https://openalex.org/W3019447003"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W2989932438","https://openalex.org/W4387297750","https://openalex.org/W4394984040","https://openalex.org/W2186333919","https://openalex.org/W219781853","https://openalex.org/W2922081184","https://openalex.org/W2391767263","https://openalex.org/W13692438"],"abstract_inverted_index":{"An":[0],"accurate":[1],"prediction":[2,70,82],"of":[3,19,80,96,108,135],"stock":[4,28,86],"market":[5],"index":[6,89,107],"is":[7,60,84,100],"important":[8],"for":[9,26],"investors":[10],"to":[11,43,62,92],"reduce":[12],"financial":[13],"risk.":[14],"Although":[15],"quite":[16],"a":[17,49,64,85,101],"number":[18,103],"deep":[20,51],"learning":[21,52],"methods":[22],"have":[23],"been":[24],"developed":[25],"the":[27,81,97,106,123,128],"prediction,":[29],"some":[30],"fundamental":[31],"problems,":[32],"such":[33],"as":[34],"weak":[35],"generalization":[36],"ability":[37],"and":[38,74,114,130],"overfitting":[39,129],"in":[40,133],"training,":[41],"need":[42],"be":[44,93],"solved.":[45],"In":[46],"this":[47],"paper,":[48],"new":[50],"model":[53],"named":[54],"Random":[55],"Long":[56],"Short-Term":[57],"Memory":[58],"(RLSTM)":[59],"proposed":[61,124],"get":[63],"better":[65],"predicting":[66],"result.":[67],"RLSTM":[68,125],"includes":[69],"module,":[71,73],"prevention":[72,98],"three":[75],"full":[76],"connection":[77],"layers.":[78],"Input":[79],"module":[83,99],"or":[87],"an":[88],"which":[90],"needs":[91],"predicted.":[94],"That":[95],"random":[102],"series.":[104],"With":[105],"Shanghai":[109],"Securities":[110],"Composite":[111],"Index":[112],"(SSEC)":[113],"Standard":[115],"&":[116],"Poor's":[117],"500":[118],"(S&P500),":[119],"simulations":[120],"show":[121],"that":[122],"can":[126],"mitigate":[127],"outperform":[131],"others":[132],"accuracy":[134],"prediction.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
