{"id":"https://openalex.org/W4405727209","doi":"https://doi.org/10.3233/faia241431","title":"Investigating the Performance of LSTM Models Optimized by Firefly Algorithms on Diverse Time-Series Data","display_name":"Investigating the Performance of LSTM Models Optimized by Firefly Algorithms on Diverse Time-Series Data","publication_year":2024,"publication_date":"2024-12-20","ids":{"openalex":"https://openalex.org/W4405727209","doi":"https://doi.org/10.3233/faia241431"},"language":"en","primary_location":{"id":"doi:10.3233/faia241431","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia241431","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/faia241431","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019283900","display_name":"Krankamon Phukhronghin","orcid":null},"institutions":[{"id":"https://openalex.org/I1285782058","display_name":"Rajamangala University of Technology Isan","ror":"https://ror.org/04a2rz655","country_code":"TH","type":"education","lineage":["https://openalex.org/I1285782058"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Krankamon Phukhronghin","raw_affiliation_strings":["Faculty of Engineering and Technology, Rajamangala University of Technology Isan, 744 Suranarai Road, Muang Disrtict, Nakhon Ratchasima, 30000, Thailand"],"raw_orcid":"https://orcid.org/0009-0005-5526-8439","affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Technology, Rajamangala University of Technology Isan, 744 Suranarai Road, Muang Disrtict, Nakhon Ratchasima, 30000, Thailand","institution_ids":["https://openalex.org/I1285782058"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069958509","display_name":"Narongdech Dungkratoke","orcid":null},"institutions":[{"id":"https://openalex.org/I82475049","display_name":"Suranaree University of Technology","ror":"https://ror.org/05sgb8g78","country_code":"TH","type":"education","lineage":["https://openalex.org/I82475049"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Narongdech Dungkratoke","raw_affiliation_strings":["Department of Interdisciplinary Science and Internationalization, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand"],"raw_orcid":"https://orcid.org/0009-0006-7097-9666","affiliations":[{"raw_affiliation_string":"Department of Interdisciplinary Science and Internationalization, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand","institution_ids":["https://openalex.org/I82475049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115622038","display_name":"Papon Tantiwanichanon","orcid":null},"institutions":[{"id":"https://openalex.org/I82475049","display_name":"Suranaree University of Technology","ror":"https://ror.org/05sgb8g78","country_code":"TH","type":"education","lineage":["https://openalex.org/I82475049"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Papon Tantiwanichanon","raw_affiliation_strings":["Department of Interdisciplinary Science and Internationalization, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand"],"raw_orcid":"https://orcid.org/0009-0008-4336-8901","affiliations":[{"raw_affiliation_string":"Department of Interdisciplinary Science and Internationalization, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand","institution_ids":["https://openalex.org/I82475049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065953076","display_name":"Sayan Kaennakham","orcid":"https://orcid.org/0000-0001-9682-559X"},"institutions":[{"id":"https://openalex.org/I82475049","display_name":"Suranaree University of Technology","ror":"https://ror.org/05sgb8g78","country_code":"TH","type":"education","lineage":["https://openalex.org/I82475049"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Sayan Kaennakham","raw_affiliation_strings":["School of Mathematics and Geoinformatics, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand"],"raw_orcid":"https://orcid.org/0000-0001-9682-559X","affiliations":[{"raw_affiliation_string":"School of Mathematics and Geoinformatics, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand","institution_ids":["https://openalex.org/I82475049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5019283900"],"corresponding_institution_ids":["https://openalex.org/I1285782058"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.69606494,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9976000189781189,"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":0.9976000189781189,"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":0.9973000288009644,"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"}},{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/firefly-algorithm","display_name":"Firefly algorithm","score":0.9079537391662598},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.808935284614563},{"id":"https://openalex.org/keywords/firefly-protocol","display_name":"Firefly protocol","score":0.7953988313674927},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6210284233093262},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5894408226013184},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5273721218109131},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.4579005539417267},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.4381476938724518},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3648208975791931},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2942122220993042},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24597576260566711},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.24344128370285034},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.0854005217552185}],"concepts":[{"id":"https://openalex.org/C154982244","wikidata":"https://www.wikidata.org/wiki/Q5451844","display_name":"Firefly algorithm","level":3,"score":0.9079537391662598},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.808935284614563},{"id":"https://openalex.org/C107477482","wikidata":"https://www.wikidata.org/wiki/Q22570039","display_name":"Firefly protocol","level":2,"score":0.7953988313674927},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6210284233093262},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5894408226013184},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5273721218109131},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.4579005539417267},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.4381476938724518},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3648208975791931},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2942122220993042},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24597576260566711},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.24344128370285034},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0854005217552185},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C90856448","wikidata":"https://www.wikidata.org/wiki/Q431","display_name":"Zoology","level":1,"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:10.3233/faia241431","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia241431","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia241431","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia241431","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322574","display_name":"Suranaree University of Technology","ror":"https://ror.org/05sgb8g78"},{"id":"https://openalex.org/F4320329659","display_name":"Thailand Science Research and Innovation","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2495093152","https://openalex.org/W3109048986","https://openalex.org/W4234488063","https://openalex.org/W4298394067","https://openalex.org/W4386022483","https://openalex.org/W4386903036","https://openalex.org/W6833116540"],"related_works":["https://openalex.org/W2222304693","https://openalex.org/W1599691202","https://openalex.org/W4200439108","https://openalex.org/W2940563633","https://openalex.org/W2490269892","https://openalex.org/W2757862489","https://openalex.org/W2810756170","https://openalex.org/W2411884393","https://openalex.org/W2984874436","https://openalex.org/W2912808862"],"abstract_inverted_index":{"This":[0],"study":[1],"investigates":[2],"the":[3,16,53,73,98,105],"performance":[4],"of":[5,15,100,107],"Long":[6],"Short-Term":[7],"Memory":[8],"(LSTM)":[9],"models":[10],"optimized":[11],"by":[12],"three":[13],"variants":[14],"Firefly":[17,55,59,65],"Algorithm":[18,56,60,66],"(FA)":[19],"for":[20,46,80,85],"time-series":[21,114],"forecasting":[22],"across":[23],"diverse":[24],"datasets.":[25],"The":[26,48],"datasets":[27],"include":[28],"a":[29,32,36],"multi-seasonal":[30],"series,":[31,34],"non-stationary":[33,81],"and":[35,40,62,83,89,93],"series":[37],"with":[38,87],"spikes":[39,88],"drops,":[41,90],"each":[42],"posing":[43],"unique":[44],"challenges":[45],"prediction.":[47],"optimization":[49,102],"was":[50],"conducted":[51],"using":[52],"Traditional":[54],"(FA),":[57],"Distance-Based":[58],"(DFA),":[61],"Logarithmic":[63],"Weighted":[64],"(LWFA).":[67],"Results":[68],"show":[69],"that":[70],"DFA":[71],"achieved":[72],"highest":[74],"Nash-Sutcliffe":[75],"Efficiency":[76],"(NSE),":[77],"reaching":[78],"0.9917":[79],"data":[82,86],"0.9865":[84],"outperforming":[91],"FA":[92],"LWFA.":[94],"These":[95],"findings":[96],"highlight":[97],"effectiveness":[99],"swarm-based":[101],"in":[103,111],"improving":[104],"accuracy":[106],"LSTM":[108],"models,":[109],"especially":[110],"handling":[112],"complex":[113],"patterns.":[115]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
