{"id":"https://openalex.org/W4408354431","doi":"https://doi.org/10.1109/icassp49660.2025.10889678","title":"Enhancing Time Series Prediction with Evolutionary Algorithm-based Optimization of LSTM","display_name":"Enhancing Time Series Prediction with Evolutionary Algorithm-based Optimization of LSTM","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408354431","doi":"https://doi.org/10.1109/icassp49660.2025.10889678"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10889678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5059213810","display_name":"Jingyu Sun","orcid":"https://orcid.org/0000-0002-2061-4582"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyu Sun","raw_affiliation_strings":["Taiyuan University of Technology,School of Software,Taiyuan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Taiyuan University of Technology,School of Software,Taiyuan,China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109609216","display_name":"Hanting Zhang","orcid":"https://orcid.org/0000-0002-4208-3786"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanting Zhang","raw_affiliation_strings":["Taiyuan University of Technology,School of Software,Taiyuan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Taiyuan University of Technology,School of Software,Taiyuan,China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107959358","display_name":"Jianfeng Wang","orcid":"https://orcid.org/0000-0002-9235-2163"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Wang","raw_affiliation_strings":["Taiyuan University of Technology,School of Software,Taiyuan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Taiyuan University of Technology,School of Software,Taiyuan,China","institution_ids":["https://openalex.org/I9086337"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9086337"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.824999988079071,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.824999988079071,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.7599999904632568,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.7134000062942505,"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/series","display_name":"Series (stratigraphy)","score":0.7046337127685547},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6965664029121399},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6208966374397278},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5723087191581726},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4991021156311035},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.49181321263313293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43309149146080017},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42508262395858765},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3538777232170105},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34302830696105957},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15437886118888855}],"concepts":[{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.7046337127685547},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6965664029121399},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6208966374397278},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5723087191581726},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4991021156311035},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.49181321263313293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43309149146080017},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42508262395858765},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3538777232170105},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34302830696105957},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15437886118888855},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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:10.1109/icassp49660.2025.10889678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":23,"referenced_works":["https://openalex.org/W2144499799","https://openalex.org/W2522984776","https://openalex.org/W2964219545","https://openalex.org/W2980994438","https://openalex.org/W3000500483","https://openalex.org/W3014191625","https://openalex.org/W3040674358","https://openalex.org/W3043878998","https://openalex.org/W3166583782","https://openalex.org/W4285387694","https://openalex.org/W4367312001","https://openalex.org/W4379382937","https://openalex.org/W4382239616","https://openalex.org/W4385363975","https://openalex.org/W4387853569","https://openalex.org/W4388091558","https://openalex.org/W4390877436","https://openalex.org/W4393140430","https://openalex.org/W4393352764","https://openalex.org/W4401462062","https://openalex.org/W6810637551","https://openalex.org/W6845625448","https://openalex.org/W6852124864"],"related_works":["https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660","https://openalex.org/W2391924736","https://openalex.org/W3133779647","https://openalex.org/W1560122427","https://openalex.org/W3041827036"],"abstract_inverted_index":{"The":[0],"architecture":[1,70],"of":[2,39,56,96],"a":[3,16],"neural":[4,26,68,111],"network":[5,27,42,69,112],"serves":[6],"as":[7],"the":[8,54,94,105],"foundation":[9],"for":[10,66],"deep":[11],"learning":[12],"models":[13],"and":[14,22,37,41,50,72],"plays":[15],"crucial":[17],"role":[18],"in":[19,82],"efficient":[20],"training":[21],"application.":[23],"Designing":[24],"high-performance":[25],"architectures":[28,113],"typically":[29],"requires":[30],"extensive":[31],"expertise,":[32],"along":[33],"with":[34],"numerous":[35],"trials":[36],"optimizations":[38],"hyperparameters":[40],"structure":[43],"parameters.":[44],"This":[45],"process":[46],"demands":[47],"significant":[48],"time":[49],"effort.":[51],"To":[52],"automate":[53],"optimization":[55,89],"LSTM":[57,67,78],"(Long":[58],"Short-Term":[59],"Memory),":[60],"this":[61],"paper":[62],"combines":[63],"evolutionary":[64],"algorithms":[65],"search":[71],"hyperparameter":[73],"tuning.":[74],"Additionally,":[75],"to":[76,92,115],"prevent":[77],"from":[79],"getting":[80],"stuck":[81],"local":[83],"optima":[84],"during":[85],"backpropagation,":[86],"particle":[87],"swarm":[88],"is":[90],"employed":[91],"initialize":[93],"weights":[95],"LSTM.":[97],"Experimental":[98],"results":[99],"on":[100],"real-world":[101],"datasets":[102],"demonstrate":[103],"that":[104],"proposed":[106],"algorithm":[107],"can":[108],"provide":[109],"different":[110,116],"tailored":[114],"datasets,":[117],"achieving":[118],"competitive":[119],"predictive":[120],"capabilities.":[121]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
