乐胖代购免代理版

{"id":"https://openalex.org/W2303500566","doi":"https://doi.org/10.4018/ijaec.2016010102","title":"Prediction of Financial Time Series Data using Hybrid Evolutionary Legendre Neural Network","display_name":"Prediction of Financial Time Series Data using Hybrid Evolutionary Legendre Neural Network","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2303500566","doi":"https://doi.org/10.4018/ijaec.2016010102","mag":"2303500566"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijaec.2016010102","pdf_url":null,"source":{"id":"https://openalex.org/S144758376","display_name":"International Journal of Applied Evolutionary Computation","issn_l":"1942-3594","issn":["1942-3594","1942-3608"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5067460865","display_name":"Rajashree Dash","orcid":"https://orcid.org/0000-0001-7813-5173"},"institutions":[{"id":"https://openalex.org/I193073490","display_name":"Siksha O Anusandhan University","ror":"https://ror.org/056ep7w45","country_code":"IN","type":"education","lineage":["https://openalex.org/I193073490"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rajashree Dash","raw_affiliation_strings":["Siksha \u2018O' Anusandhan University, Bhubaneswar, India"],"affiliations":[{"raw_affiliation_string":"Siksha \u2018O' Anusandhan University, Bhubaneswar, India","institution_ids":["https://openalex.org/I193073490"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025078574","display_name":"P.K. Dash","orcid":"https://orcid.org/0000-0002-8950-7136"},"institutions":[{"id":"https://openalex.org/I193073490","display_name":"Siksha O Anusandhan University","ror":"https://ror.org/056ep7w45","country_code":"IN","type":"education","lineage":["https://openalex.org/I193073490"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pradipta Kishore Dash","raw_affiliation_strings":["Siksha \u2018O' Anusandhan University, Bhubaneswar, India"],"affiliations":[{"raw_affiliation_string":"Siksha \u2018O' Anusandhan University, Bhubaneswar, India","institution_ids":["https://openalex.org/I193073490"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.74,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":20,"citation_normalized_percentile":{"value":0.853715,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":92},"biblio":{"volume":"7","issue":"1","first_page":"16","last_page":"32"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9987,"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":0.9987,"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":0.996,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9912,"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/differential-evolution","display_name":"Differential Evolution","score":0.572691}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7505456},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6575304},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6187026},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.572691},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5123897},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4801873},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.47031513},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4532642},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.45312834},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.44346133},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42737526},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.41193748},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3793137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24033889},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19923756},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijaec.2016010102","pdf_url":null,"source":{"id":"https://openalex.org/S144758376","display_name":"International Journal of Applied Evolutionary Computation","issn_l":"1942-3594","issn":["1942-3594","1942-3608"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":26,"referenced_works":["https://openalex.org/W1488875844","https://openalex.org/W1953512529","https://openalex.org/W1968447126","https://openalex.org/W1969396493","https://openalex.org/W1984906465","https://openalex.org/W1996533267","https://openalex.org/W1999324399","https://openalex.org/W2005998459","https://openalex.org/W2006942814","https://openalex.org/W2009129472","https://openalex.org/W2030655795","https://openalex.org/W2037026225","https://openalex.org/W2070289601","https://openalex.org/W2081615838","https://openalex.org/W2121610565","https://openalex.org/W2121702267","https://openalex.org/W2122476482","https://openalex.org/W2135479649","https://openalex.org/W2139997280","https://openalex.org/W2159955170","https://openalex.org/W2160724530","https://openalex.org/W2164933932","https://openalex.org/W2185657421","https://openalex.org/W2285058769","https://openalex.org/W2321440940","https://openalex.org/W2552211361"],"related_works":["https://openalex.org/W4296209631","https://openalex.org/W4294811468","https://openalex.org/W4206659427","https://openalex.org/W2767141225","https://openalex.org/W2561617217","https://openalex.org/W2355801475","https://openalex.org/W2170062176","https://openalex.org/W2148135840","https://openalex.org/W2003904901","https://openalex.org/W106004901"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"a":[3,28,50,66,78,84],"predictor":[4],"model":[5,62],"using":[6,65,111],"Legendre":[7,23],"Neural":[8,24],"Network":[9,25],"is":[10,27,77],"proposed":[11],"for":[12,130],"one":[13],"day":[14],"ahead":[15],"prediction":[16],"of":[17,45,52,59,80,95,128],"financial":[18],"time":[19],"series":[20],"data.":[21],"The":[22,57,75],"(LENN)":[26],"single":[29],"layer":[30],"structure":[31],"that":[32,82],"possess":[33],"faster":[34],"convergence":[35,100],"rate":[36],"and":[37,97,122,136],"reduced":[38],"computational":[39],"complexity":[40],"by":[41,102],"increasing":[42],"the":[43,46,60,91,132],"dimensionality":[44],"input":[47],"pattern":[48],"with":[49,117],"set":[51],"linearly":[53],"independent":[54],"nonlinear":[55],"functions.":[56],"parameters":[58],"LENN":[61,110,129],"are":[63],"estimated":[64],"Moderate":[67],"Random":[68],"Search":[69],"Particle":[70,118],"Swarm":[71,119],"Optimization":[72,120],"Method":[73],"(HMRPSO).":[74],"HMRPSO":[76,112],"variant":[79],"PSO":[81],"uses":[83],"moderate":[85],"random":[86],"search":[87,93,106],"method":[88],"to":[89],"enhance":[90],"global":[92],"ability":[94],"particles":[96],"increases":[98],"their":[99],"rates":[101],"focusing":[103],"on":[104],"valuable":[105],"space":[107],"regions.":[108],"Training":[109],"has":[113],"also":[114],"been":[115],"compared":[116],"(PSO)":[121],"Differential":[123],"Evolution":[124],"(DE)":[125],"based":[126],"learning":[127],"predicting":[131],"Bombay":[133],"Stock":[134],"Exchange":[135],"S&P":[137],"500":[138],"data":[139],"sets.":[140]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2303500566","counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4}],"updated_date":"2025-03-23T09:26:34.067109","created_date":"2016-06-24"}