{"id":"https://openalex.org/W7165533240","doi":"https://doi.org/10.3103/s0146411626700112","title":"Robust Identification Algorithm of Network Communication Signals via Machine Learning Model","display_name":"Robust Identification Algorithm of Network Communication Signals via Machine Learning Model","publication_year":2026,"publication_date":"2026-02-01","ids":{"openalex":"https://openalex.org/W7165533240","doi":"https://doi.org/10.3103/s0146411626700112"},"language":"en","primary_location":{"id":"doi:10.3103/s0146411626700112","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411626700112","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","raw_type":"journal-article"},"type":"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/A5100513076","display_name":"Xinming Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210157719","display_name":"Yancheng Institute of Technology","ror":"https://ror.org/04y8njc86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210157719"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"XinMing Fan","raw_affiliation_strings":["School of Information Engineering, Yancheng Institute of Technology, 224051, Yancheng, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Yancheng Institute of Technology, 224051, Yancheng, Jiangsu, China","institution_ids":["https://openalex.org/I4210157719"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101016808","display_name":"Lijie Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]},{"id":"https://openalex.org/I4210096047","display_name":"Yantai Automobile Engineering Professional College","ror":"https://ror.org/00sh5y950","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096047"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lijie Zhou","raw_affiliation_strings":["Information Technology Center, Yantai Vocational College, 264670, Yantai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology Center, Yantai Vocational College, 264670, Yantai, China","institution_ids":["https://openalex.org/I18452120","https://openalex.org/I4210096047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038659736","display_name":"Weihai Yu","orcid":"https://orcid.org/0000-0002-8886-9047"},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]},{"id":"https://openalex.org/I4210108301","display_name":"Yantai Academy of Agricultural Sciences","ror":"https://ror.org/01t81st47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210108301"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihai Yu","raw_affiliation_strings":["Yantai Research Institute of Education Science, Yantai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yantai Research Institute of Education Science, Yantai, China","institution_ids":["https://openalex.org/I18452120","https://openalex.org/I4210108301"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5139095874","display_name":"Peng Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I4210091069","display_name":"Dongfang Electric Corporation (China)","ror":"https://ror.org/00az85j53","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091069"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Sun","raw_affiliation_strings":["Dongfang Electronics Co., Ltd. Intelligent Power Distribution Division, Yantai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dongfang Electronics Co., Ltd. Intelligent Power Distribution Division, Yantai, China","institution_ids":["https://openalex.org/I4210091069"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101016808"],"corresponding_institution_ids":["https://openalex.org/I18452120","https://openalex.org/I4210096047"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.80122921,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"60","issue":"1","first_page":"105","last_page":"119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13567","display_name":"AI and Multimedia in Education","score":0.15649999678134918,"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/T13567","display_name":"AI and Multimedia in Education","score":0.15649999678134918,"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/T13027","display_name":"Applied Advanced Technologies","score":0.1468999981880188,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T13647","display_name":"AI and Big Data Applications","score":0.06509999930858612,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/support-vector-machine","display_name":"Support vector machine","score":0.7354000210762024},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6728000044822693},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5250999927520752},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.5242000222206116},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.5184999704360962},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4758000075817108},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4397999942302704},{"id":"https://openalex.org/keywords/radial-basis-function-network","display_name":"Radial basis function network","score":0.4287000000476837},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4108999967575073}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.868399977684021},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7354000210762024},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6858999729156494},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6728000044822693},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6668000221252441},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5250999927520752},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.5242000222206116},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.5184999704360962},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4758000075817108},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44859999418258667},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4397999942302704},{"id":"https://openalex.org/C132917294","wikidata":"https://www.wikidata.org/wiki/Q2679684","display_name":"Radial basis function network","level":4,"score":0.4287000000476837},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4108999967575073},{"id":"https://openalex.org/C14948415","wikidata":"https://www.wikidata.org/wiki/Q7310972","display_name":"Relevance vector machine","level":3,"score":0.39750000834465027},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.3937000036239624},{"id":"https://openalex.org/C192126672","wikidata":"https://www.wikidata.org/wiki/Q1068715","display_name":"Telecommunications network","level":2,"score":0.38109999895095825},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.357699990272522},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.35679998993873596},{"id":"https://openalex.org/C101765175","wikidata":"https://www.wikidata.org/wiki/Q577764","display_name":"Communications system","level":2,"score":0.31200000643730164},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.3084000051021576},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.30309998989105225},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.28130000829696655},{"id":"https://openalex.org/C139940560","wikidata":"https://www.wikidata.org/wiki/Q290036","display_name":"Network simulation","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.26100000739097595},{"id":"https://openalex.org/C115903097","wikidata":"https://www.wikidata.org/wiki/Q7094097","display_name":"Online machine learning","level":3,"score":0.2542000114917755}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3103/s0146411626700112","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411626700112","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2580486137","https://openalex.org/W2884948943","https://openalex.org/W3107446066","https://openalex.org/W3108027628","https://openalex.org/W3125912401","https://openalex.org/W3198017164","https://openalex.org/W3201675569","https://openalex.org/W3214457704","https://openalex.org/W4205825164","https://openalex.org/W4296211529","https://openalex.org/W4313251985","https://openalex.org/W4317795318","https://openalex.org/W4319316768","https://openalex.org/W4327522867","https://openalex.org/W4367310368","https://openalex.org/W4376528501","https://openalex.org/W4378983102","https://openalex.org/W4400485143"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"The":[1,89,112],"identification":[2],"of":[3,8,31,61,96,105],"network":[4,40,80,113,157],"signals":[5],"is":[6,101,147],"one":[7],"the":[9,14,29,50,59,67,71,86,94,97,106,126,134,142],"important":[10],"factors":[11],"that":[12,93,104],"affect":[13],"communication":[15,41,114,158],"processing":[16],"and":[17,22,57,75],"control":[18],"effect,":[19],"but":[20],"anomalies":[21],"errors":[23],"often":[24],"occur":[25],"in":[26],"applications.":[27],"With":[28],"development":[30],"artificial":[32],"intelligence":[33],"technology,":[34],"this":[35],"paper":[36],"automatically":[37],"identifies":[38],"computer":[39,156],"based":[42],"on":[43],"a":[44,130,137],"machine":[45,53,74,100,145],"learning":[46],"model.":[47],"We":[48],"use":[49],"support":[51,72,98,143],"vector":[52,73,99,144],"model":[54,81,146],"for":[55],"simulation":[56],"solve":[58],"problem":[60],"overlearning":[62],"through":[63],"parameter":[64],"optimization.":[65],"Using":[66],"feature":[68],"parameters":[69],"obtained,":[70],"radial":[76,107],"basis":[77,108],"function":[78,109],"neural":[79,110],"are":[82],"used":[83],"to":[84,149,155],"classify":[85],"modulated":[87],"signals.":[88,159],"experimental":[90],"results":[91],"show":[92],"performance":[95,118,139],"better":[102],"than":[103],"network.":[111],"signal":[115],"has":[116,129,136],"good":[117],"under":[119],"high":[120,131],"SNR.":[121],"However,":[122],"at":[123],"low":[124],"SNR,":[125],"former":[127],"still":[128],"accuracy,":[132],"while":[133],"latter":[135],"serious":[138],"degradation.":[140],"Therefore,":[141],"considered":[148],"be":[150],"more":[151],"robust":[152],"when":[153],"applied":[154]},"counts_by_year":[],"updated_date":"2026-06-24T06:17:17.354583","created_date":"2026-06-23T00:00:00"}
