{"id":"https://openalex.org/W4395090640","doi":"https://doi.org/10.1109/iatmsi60426.2024.10502740","title":"Evolutionary hybrid neural networks for time series forecasting","display_name":"Evolutionary hybrid neural networks for time series forecasting","publication_year":2024,"publication_date":"2024-03-14","ids":{"openalex":"https://openalex.org/W4395090640","doi":"https://doi.org/10.1109/iatmsi60426.2024.10502740"},"language":"en","primary_location":{"id":"doi:10.1109/iatmsi60426.2024.10502740","doi":"https://doi.org/10.1109/iatmsi60426.2024.10502740","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iatmsi60426.2024.10502740","pdf_url":null,"source":{"id":"https://openalex.org/S7407089240","display_name":"IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5002602986","display_name":"Sudersan Behera","orcid":"https://orcid.org/0000-0002-0249-6738","observed_orcids":["https://orcid.org/0000-0002-0249-6738"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sudersan Behera","raw_affiliation_strings":["Sphoorthy Engineering College,Department of CSE-AIML,Hyderabad,India,501510"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sphoorthy Engineering College,Department of CSE-AIML,Hyderabad,India,501510","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010562099","display_name":"Attili Venkata Ramana","orcid":"https://orcid.org/0000-0002-0149-5039","observed_orcids":["https://orcid.org/0000-0002-0149-5039"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Attili Venkata Ramana","raw_affiliation_strings":["Geethanjali College of Engineering and Technology,Department of CSE-DS,Hyderabad,India,501301"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Geethanjali College of Engineering and Technology,Department of CSE-DS,Hyderabad,India,501301","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5095866989","display_name":"P. Venkata Pratima","orcid":"https://orcid.org/0000-0003-1042-2365","observed_orcids":["https://orcid.org/0000-0003-1042-2365"]},"institutions":[{"id":"https://openalex.org/I4210130653","display_name":"Guru Nanak Institutions","ror":"https://ror.org/03vb53h45","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210130653"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P Venkata Pratima","raw_affiliation_strings":["Guru Nanak Institute of Technical Campus,Department of CSE-AIML,Hyderabad,India,501506"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guru Nanak Institute of Technical Campus,Department of CSE-AIML,Hyderabad,India,501506","institution_ids":["https://openalex.org/I4210130653"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012905110","display_name":"Kailash Sinha","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210130653","display_name":"Guru Nanak Institutions","ror":"https://ror.org/03vb53h45","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210130653"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kailash Sinha","raw_affiliation_strings":["Guru Nanak Institute of Technology,Department of ECE,Hyderabad,India","Department of ECE, Guru Nanak Institute of Technology, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guru Nanak Institute of Technology,Department of ECE,Hyderabad,India","institution_ids":[]},{"raw_affiliation_string":"Department of ECE, Guru Nanak Institute of Technology, Hyderabad, India","institution_ids":["https://openalex.org/I4210130653"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011864272","display_name":"P. Sambasiva Rao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210130653","display_name":"Guru Nanak Institutions","ror":"https://ror.org/03vb53h45","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210130653"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P Sambasiva Rao","raw_affiliation_strings":["Guru Nanak Institute of Technical Campus,Department of CSE-AIML,Hyderabad,India,501506"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guru Nanak Institute of Technical Campus,Department of CSE-AIML,Hyderabad,India,501506","institution_ids":["https://openalex.org/I4210130653"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104286533","display_name":"Mohd Ayaz Uddin","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohd Ayaz Uddin","raw_affiliation_strings":["Sphoorthy Engineering College,Department of CSE-AIML,Hyderabad,India,501510"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sphoorthy Engineering College,Department of CSE-AIML,Hyderabad,India,501510","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5318,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54970596,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"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":0.9951000213623047,"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":0.9951000213623047,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.0035000001080334187,"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":0.0005000000237487257,"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/time-series-forecasting","display_name":"time series forecasting","score":0.8989999890327454},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.6919999718666077},{"id":"https://openalex.org/keywords/evolutionary-algorithms","display_name":"evolutionary algorithms","score":0.6830000281333923},{"id":"https://openalex.org/keywords/hybrid-neural-network","display_name":"hybrid neural network","score":0.6790000200271606},{"id":"https://openalex.org/keywords/exchange-rate-forecasting","display_name":"exchange rate forecasting","score":0.7900000214576721},{"id":"https://openalex.org/keywords/exchange-rates","display_name":"exchange rates","score":0.7350000143051147},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"genetic algorithm","score":0.4099999964237213},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"particle swarm optimization","score":0.9980000257492065},{"id":"https://openalex.org/keywords/weight-and-bias-optimization","display_name":"weight and bias optimization","score":0.6690000295639038},{"id":"https://openalex.org/keywords/financial-market-prediction","display_name":"financial market forecasting","score":0.6019999980926514}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6534982323646545},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6341875791549683},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6247137188911438},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5418092012405396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42468786239624023},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.334641695022583},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08619582653045654},{"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:10.1109/iatmsi60426.2024.10502740","doi":"https://doi.org/10.1109/iatmsi60426.2024.10502740","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iatmsi60426.2024.10502740","pdf_url":null,"source":{"id":"https://openalex.org/S7407089240","display_name":"IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2054162983","https://openalex.org/W2093091530","https://openalex.org/W2139486982","https://openalex.org/W2522623928","https://openalex.org/W2744606963","https://openalex.org/W2885597546","https://openalex.org/W2890524355","https://openalex.org/W2933073380","https://openalex.org/W2951657809","https://openalex.org/W2984191725","https://openalex.org/W3003111076","https://openalex.org/W3003538339","https://openalex.org/W3038584219","https://openalex.org/W3099842405","https://openalex.org/W3100877287","https://openalex.org/W3159793435","https://openalex.org/W3161789271","https://openalex.org/W3193374318","https://openalex.org/W3209594828","https://openalex.org/W4206062825","https://openalex.org/W4220875174","https://openalex.org/W4303183934","https://openalex.org/W4309337433","https://openalex.org/W4321377565","https://openalex.org/W4377691597","https://openalex.org/W4387103589"],"related_works":["https://openalex.org/W4404689664","https://openalex.org/W4396907831","https://openalex.org/W2976937103","https://openalex.org/W98747420","https://openalex.org/W4402996939","https://openalex.org/W1525458571","https://openalex.org/W2131921041","https://openalex.org/W4404485345","https://openalex.org/W1997266529","https://openalex.org/W2009099772"],"abstract_inverted_index":{"Forecasting":[0],"the":[1,12,34,46,65,78,85,105,128,141,160,163,169],"trajectory":[2],"of":[3,36,49,67,88,162,171],"time":[4,174],"series":[5,175],"is":[6,134],"notably":[7],"challenging,":[8],"primarily":[9],"attributed":[10],"to":[11,77,97,154],"intrinsic":[13],"non-linearities":[14],"and":[15,51,111,121,123,149],"continually":[16],"shifting":[17],"dynamics":[18],"present":[19],"in":[20,64,151,167],"financial":[21],"markets.":[22],"In":[23,95],"this":[24],"research":[25],"initiative,":[26],"we":[27,102,124],"adopt":[28],"a":[29,68,99],"pioneering":[30],"methodology":[31],"by":[32,80],"leveraging":[33],"capabilities":[35],"an":[37,54],"evolutionary":[38,164],"algorithm":[39,166],"named":[40,72],"Barnacle":[41],"Mating":[42],"Optimization":[43],"(BMO)":[44],"for":[45,83,127],"precision":[47],"adjustment":[48],"weights":[50],"biases":[52],"within":[53],"Artificial":[55],"Neural":[56],"Network":[57],"(ANN).":[58],"This":[59],"intricate":[60],"optimization":[61],"process":[62],"results":[63,142],"development":[66],"hybrid":[69],"model,":[70],"aptly":[71],"BMO+ANN.":[73],"We":[74],"put":[75],"BMO+ANN":[76,146],"test":[79],"utilizing":[81],"it":[82],"forecasting":[84],"closing":[86],"prices":[87],"two":[89,115],"widely":[90],"tracked":[91],"currency":[92],"exchange":[93,172],"rates.":[94],"order":[96],"provide":[98],"comprehensive":[100],"comparison,":[101],"also":[103],"train":[104],"same":[106,129],"ANN":[107],"model":[108],"using":[109,137],"DE":[110],"PSO":[112],"algorithms":[113],"resulting":[114],"competitive":[116],"models":[117],"such":[118],"as":[119],"DE+ANN":[120,148],"PSO+ANN":[122,150],"engage":[125],"them":[126],"task.":[130],"The":[131],"performance":[132],"evaluation":[133],"carried":[135],"out":[136],"RMSE":[138],"metric.":[139],"Remarkably,":[140],"conclusively":[143],"demonstrate":[144],"that":[145],"outshines":[147],"its":[152],"ability":[153],"make":[155],"more":[156],"accurate":[157],"forecasting,":[158],"underscoring":[159],"effectiveness":[161],"BMO":[165],"tackling":[168],"complexities":[170],"rate":[173],"forecasting.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2024-04-25T00:00:00"}