{"id":"https://openalex.org/W4289028884","doi":"https://doi.org/10.1155/2022/3334072","title":"Detection of Weak Pulse Signal in Chaotic Noise Based on Improved Brain Emotional Learning Model and PSO-AGA","display_name":"Detection of Weak Pulse Signal in Chaotic Noise Based on Improved Brain Emotional Learning Model and PSO-AGA","publication_year":2022,"publication_date":"2022-07-31","ids":{"openalex":"https://openalex.org/W4289028884","doi":"https://doi.org/10.1155/2022/3334072"},"language":"en","primary_location":{"id":"doi:10.1155/2022/3334072","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/3334072","pdf_url":"https://downloads.hindawi.com/journals/js/2022/3334072.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/js/2022/3334072.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091115877","display_name":"Dan Chen","orcid":"https://orcid.org/0000-0002-4056-1545"},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Dan","raw_affiliation_strings":["School of Science, Chongqing University of Technology, Chongqing 400054, China"],"raw_orcid":"https://orcid.org/0000-0002-4056-1545","affiliations":[{"raw_affiliation_string":"School of Science, Chongqing University of Technology, Chongqing 400054, China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074628231","display_name":"Shengli Zhao","orcid":"https://orcid.org/0000-0002-0879-8606"},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shengli Zhao","raw_affiliation_strings":["School of Science, Chongqing University of Technology, Chongqing 400054, China"],"raw_orcid":"https://orcid.org/0000-0002-0879-8606","affiliations":[{"raw_affiliation_string":"School of Science, Chongqing University of Technology, Chongqing 400054, China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101789012","display_name":"Hua Li","orcid":"https://orcid.org/0000-0002-6480-7386"},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Li","raw_affiliation_strings":["School of Science, Chongqing University of Technology, Chongqing 400054, China"],"raw_orcid":"https://orcid.org/0000-0002-6480-7386","affiliations":[{"raw_affiliation_string":"School of Science, Chongqing University of Technology, Chongqing 400054, China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080366458","display_name":"Liyun Su","orcid":"https://orcid.org/0000-0001-7150-2161"},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyun Su","raw_affiliation_strings":["School of Science, Chongqing University of Technology, Chongqing 400054, China"],"raw_orcid":"https://orcid.org/0000-0001-7150-2161","affiliations":[{"raw_affiliation_string":"School of Science, Chongqing University of Technology, Chongqing 400054, China","institution_ids":["https://openalex.org/I50632499"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5074628231"],"corresponding_institution_ids":["https://openalex.org/I50632499"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.3363,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.52073569,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2022","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10244","display_name":"Chaos control and synchronization","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10244","display_name":"Chaos control and synchronization","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9696999788284302,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9398000240325928,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.668919563293457},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6446302533149719},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5853425860404968},{"id":"https://openalex.org/keywords/pulse","display_name":"Pulse (music)","score":0.5620285868644714},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4356958866119385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43340176343917847},{"id":"https://openalex.org/keywords/social-emotional-learning","display_name":"Social emotional learning","score":0.42305248975753784},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3867306709289551},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.33643898367881775},{"id":"https://openalex.org/keywords/developmental-psychology","display_name":"Developmental psychology","score":0.11953175067901611},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07981312274932861},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06588295102119446}],"concepts":[{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.668919563293457},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6446302533149719},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5853425860404968},{"id":"https://openalex.org/C2780167933","wikidata":"https://www.wikidata.org/wiki/Q1550652","display_name":"Pulse (music)","level":3,"score":0.5620285868644714},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4356958866119385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43340176343917847},{"id":"https://openalex.org/C163007329","wikidata":"https://www.wikidata.org/wiki/Q106679114","display_name":"Social emotional learning","level":2,"score":0.42305248975753784},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3867306709289551},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.33643898367881775},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.11953175067901611},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07981312274932861},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06588295102119446},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2022/3334072","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/3334072","pdf_url":"https://downloads.hindawi.com/journals/js/2022/3334072.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:105659045d05447c849660586be2fa16","is_oa":false,"landing_page_url":"https://doaj.org/article/105659045d05447c849660586be2fa16","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Sensors, Vol 2022 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2022/3334072","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/3334072","pdf_url":"https://downloads.hindawi.com/journals/js/2022/3334072.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1183771242","display_name":null,"funder_award_id":"gzlcx20222081","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"},{"id":"https://openalex.org/G2945084794","display_name":null,"funder_award_id":"KJQN202101125","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"},{"id":"https://openalex.org/G3099766047","display_name":null,"funder_award_id":"2019jcyj-msxmX0020","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"},{"id":"https://openalex.org/G7504977385","display_name":null,"funder_award_id":"2021jcyj-msxmX0388","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"}],"funders":[{"id":"https://openalex.org/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4289028884.pdf","grobid_xml":"https://content.openalex.org/works/W4289028884.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1549386224","https://openalex.org/W2023517641","https://openalex.org/W2115546430","https://openalex.org/W2134440195","https://openalex.org/W2146203966","https://openalex.org/W2235262481","https://openalex.org/W2348435247","https://openalex.org/W2363415596","https://openalex.org/W2392242168","https://openalex.org/W3000897871","https://openalex.org/W3111247567","https://openalex.org/W3111434900","https://openalex.org/W3111915820","https://openalex.org/W3112663837","https://openalex.org/W3113024681","https://openalex.org/W4210252168","https://openalex.org/W4283274312","https://openalex.org/W4379045781"],"related_works":["https://openalex.org/W2004708907","https://openalex.org/W2377429601","https://openalex.org/W2386043911","https://openalex.org/W3171270255","https://openalex.org/W2368252804","https://openalex.org/W4380145427","https://openalex.org/W2379367191","https://openalex.org/W2352594230","https://openalex.org/W2112690272","https://openalex.org/W2377378424"],"abstract_inverted_index":{"A":[0],"model":[1,40,204,223,329,344],"for":[2],"detecting":[3],"weak":[4,350],"pulse":[5,106,351],"signals":[6,352],"in":[7],"chaotic":[8,19,48,355],"noise":[9],"was":[10,31,44,55,80,98,330],"proposed.":[11],"Firstly,":[12],"based":[13],"on":[14],"the":[15,25,51,61,64,84,94,105,109,116,120,127,130,142,165,172,183,190,202,215,221,246,270,278,286,297,308,314,320,327,335,342,354],"short-term":[16],"predictability":[17],"of":[18,28,63,86,132,214,234,338],"signals,":[20,49],"according":[21],"to":[22,46,59,82,100,319],"Takens\u2019s":[23],"theorem,":[24],"phase":[26],"space":[27],"observed":[29],"signal":[30,107],"reconstructed.":[32],"Then,":[33],"an":[34,67],"improved":[35],"brain":[36],"emotional":[37],"learning":[38],"(BEL)":[39],"combined":[41,71],"with":[42,72],"PSO-AGA":[43,70,298],"proposed":[45,343],"predict":[47],"and":[50,76,89,119,135,140,163,170,180,188,195,211,217,226,238,244,268,276,284,292,303,345],"one-step":[52,110],"prediction":[53,111,305],"error":[54],"obtained.":[56],"In":[57,126,307],"order":[58],"optimize":[60],"parameters":[62],"BEL":[65,203,222],"model,":[66],"algorithm":[68,79,346],"named":[69],"particle":[73],"swarm":[74],"optimization":[75],"adaptive":[77],"genetic":[78],"adopted":[81],"achieve":[83],"balance":[85],"global":[87],"search":[88,91],"local":[90],"capabilities.":[92],"Finally,":[93],"hypothesis":[95],"testing":[96],"method":[97],"used":[99],"detect":[101,349],"whether":[102],"there":[103],"existed":[104],"from":[108,353],"error.":[112],"The":[113,232],"experiments":[114],"simulated":[115],"Lorenz":[117,128,321],"system":[118],"magnetic":[121,309],"storm":[122,310],"loop":[123,311],"current":[124,312],"system.":[125],"system,":[129,313],"MAD":[131,233],"BEL-PSO-AGA,":[133,235],"BP-NN-PSO-AGA,":[134],"Wavelet-NN-PSO-AGA":[136],"were":[137,144,167,175,185,192,240,248,272,280,288,317],"0.0022,":[138,241],"0.0142,":[139],"0.0076;":[141],"MSE":[143,247],"<a:math":[145],"xmlns:a=\"http://www.w3.org/1998/Math/MathML\"":[146],"id=\"M1\">":[147],"<a:mn>8.95</a:mn>":[148],"<a:mo>\u00d7</a:mo>":[149],"<a:mn>1</a:mn>":[150],"<a:msup>":[151],"<a:mrow>":[152,155],"<a:mn>0</a:mn>":[153],"</a:mrow>":[154,158],"<a:mo>\u2212</a:mo>":[156],"<a:mn>6</a:mn>":[157],"</a:msup>":[159],"</a:math>":[160],",":[161,265],"0.00034,":[162],"0.00016;":[164],"RMSE":[166,271],"0.0029,":[168,273],"0.0187,":[169],"0.0128;":[171],"running":[173,209],"times":[174],"410":[176],"s,":[177,179],"792":[178],"721":[181],"s;":[182],"ACC":[184,216,279],"0.999,":[186,281],"0.972,":[187],"0.997;":[189,285],"F1":[191,287],"0.984,":[193,289],"0.423,":[194],"0.878.":[196,293],"It":[197],"could":[198,347],"be":[199],"seen":[200],"that":[201,220,296,326,341],"had":[205,227,300],"better":[206,229,301],"performance,":[207],"shorter":[208],"time":[210],"higher":[212,304],"values":[213],"F1,":[218],"indicated":[219,295,325],"ran":[224],"faster":[225],"a":[228],"predictive":[230],"effect.":[231],"BEL-WOA,":[236],"BEL-AGA,":[237],"BEL-PSO":[239],"0.0065,":[242],"0.0135,":[243],"0.0071;":[245],"<c:math":[249],"xmlns:c=\"http://www.w3.org/1998/Math/MathML\"":[250],"id=\"M2\">":[251],"<c:mn>8.95</c:mn>":[252],"<c:mo>\u00d7</c:mo>":[253],"<c:mn>1</c:mn>":[254],"<c:msup>":[255],"<c:mrow>":[256,259],"<c:mn>0</c:mn>":[257],"</c:mrow>":[258,262],"<c:mo>\u2212</c:mo>":[260],"<c:mn>6</c:mn>":[261],"</c:msup>":[263],"</c:math>":[264],"0.00013,":[266],"0.00029,":[267],"0.00014;":[269],"0.0115,":[274],"0.0173,":[275],"0.0119;":[277],"0.992,":[282],"0.990,":[283],"0.733,":[290],"0.451,":[291],"This":[294],"also":[299,324],"performance":[302],"accuracy.":[306],"experimental":[315],"results":[316,337],"similar":[318],"experiment,":[322],"which":[323],"BEL-PSO-AGA":[328],"better.":[331],"To":[332],"sum":[333],"up,":[334],"detection":[336],"simulations":[339],"showed":[340],"effectively":[348],"noise.":[356]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}