{"id":"https://openalex.org/W2972514344","doi":"https://doi.org/10.1109/eit.2019.8834336","title":"Prediction Model Using Recurrent Neural Networks","display_name":"Prediction Model Using Recurrent Neural Networks","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2972514344","doi":"https://doi.org/10.1109/eit.2019.8834336","mag":"2972514344"},"language":"en","primary_location":{"id":"doi:10.1109/eit.2019.8834336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eit.2019.8834336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Electro Information Technology (EIT)","raw_type":"proceedings-article"},"type":"article","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/A5103052801","display_name":"Israt Jahan","orcid":"https://orcid.org/0000-0003-1155-9208"},"institutions":[{"id":"https://openalex.org/I4210119435","display_name":"Nueta Hidatsa Sahnish College","ror":"https://ror.org/02gk9bd41","country_code":"US","type":"education","lineage":["https://openalex.org/I4210119435"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Israt Jahan","raw_affiliation_strings":["Dept. of Computer Science, Nueta Hidatsa Sahnish College, New Town, ND, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Nueta Hidatsa Sahnish College, New Town, ND, USA","institution_ids":["https://openalex.org/I4210119435"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059716670","display_name":"Sayeed Sajal","orcid":null},"institutions":[{"id":"https://openalex.org/I92063915","display_name":"Minot State University","ror":"https://ror.org/051j7cj03","country_code":"US","type":"education","lineage":["https://openalex.org/I92063915"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sayeed Z. Sajal","raw_affiliation_strings":["Dept. of Math and Computer Science, Minot State University, Minot, ND, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Math and Computer Science, Minot State University, Minot, ND, USA","institution_ids":["https://openalex.org/I92063915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046205221","display_name":"Kendall E. Nygard","orcid":null},"institutions":[{"id":"https://openalex.org/I57328836","display_name":"North Dakota State University","ror":"https://ror.org/05h1bnb22","country_code":"US","type":"education","lineage":["https://openalex.org/I57328836"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kendall E. Nygard","raw_affiliation_strings":["Dept. of Computer Science, North Dakota State University, Fargo, ND, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, North Dakota State University, Fargo, ND, USA","institution_ids":["https://openalex.org/I57328836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103052801"],"corresponding_institution_ids":["https://openalex.org/I4210119435"],"apc_list":null,"apc_paid":null,"fwci":1.1883,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.8142918,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9997000098228455,"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":0.9997000098228455,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9932000041007996,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7074326872825623},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5358753204345703},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5069959163665771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4481998383998871}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7074326872825623},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5358753204345703},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5069959163665771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4481998383998871}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/eit.2019.8834336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eit.2019.8834336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Electro Information Technology (EIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1491302875","https://openalex.org/W1983636075","https://openalex.org/W1993709375","https://openalex.org/W1995382443","https://openalex.org/W2005877787","https://openalex.org/W2007358469","https://openalex.org/W2015800048","https://openalex.org/W2025291942","https://openalex.org/W2080265874","https://openalex.org/W2143612262","https://openalex.org/W2162389778","https://openalex.org/W2587000990","https://openalex.org/W2610886376","https://openalex.org/W2786839773","https://openalex.org/W2990168612","https://openalex.org/W3145506661","https://openalex.org/W3206767932","https://openalex.org/W6748606330","https://openalex.org/W6802575287"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W3032952384","https://openalex.org/W3034302643","https://openalex.org/W1847088711","https://openalex.org/W4225394202","https://openalex.org/W3036642985","https://openalex.org/W2964335273","https://openalex.org/W1889624880"],"abstract_inverted_index":{"The":[0,121],"stock":[1,24],"market":[2,28],"is":[3,113,134],"generally":[4],"very":[5],"unpredictable":[6],"in":[7],"nature.":[8],"There":[9],"are":[10,94,125],"many":[11,46],"factors":[12,49],"that":[13,80,136],"might":[14],"be":[15,140],"responsible":[16],"to":[17,142],"determine":[18],"the":[19,27,51,58,88,119,128],"price":[20,44],"of":[21,53,60,91,118,145],"a":[22,100,107],"particular":[23],"such":[25],"as":[26],"trend,":[29],"supply":[30],"and":[31,45,66,74],"demand":[32],"ratio,":[33],"global":[34],"economy,":[35],"public":[36],"sentiments,":[37],"sensitive":[38],"financial":[39,148],"information,":[40],"earning":[41],"declaration,":[42],"historical":[43],"more.":[47],"These":[48],"explain":[50],"challenge":[52],"accurate":[54,77],"prediction.":[55],"But,":[56],"with":[57,127],"help":[59],"new":[61],"technologies":[62],"like":[63],"data":[64,73,98,117],"mining":[65],"machine":[67,102],"learning,":[68],"we":[69],"can":[70,139],"analyze":[71],"big":[72],"develop":[75],"an":[76],"prediction":[78],"model":[79,138],"avoids":[81],"some":[82],"human":[83],"errors.":[84],"In":[85,105],"this":[86,137],"work,":[87],"closing":[89,123,130],"prices":[90,124],"specific":[92],"stocks":[93],"predicted":[95,122],"from":[96],"sample":[97],"using":[99],"supervised":[101],"learning":[103],"algorithm.":[104],"particular,":[106],"Recurrent":[108],"Neural":[109],"Network":[110],"(RNN)":[111],"algorithm":[112],"used":[114,141],"on":[115],"time-series":[116],"stocks.":[120],"cross-checked":[126],"true":[129],"price.":[131],"Finally,":[132],"it":[133],"suggested":[135],"make":[143],"predictions":[144],"other":[146],"volatile":[147],"instruments.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}