{"id":"https://openalex.org/W1982395539","doi":"https://doi.org/10.1109/chinasip.2014.6889333","title":"Evolutionary model selection for identification of nonlinear parametric systems","display_name":"Evolutionary model selection for identification of nonlinear parametric systems","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W1982395539","doi":"https://doi.org/10.1109/chinasip.2014.6889333","mag":"1982395539"},"language":"en","primary_location":{"id":"doi:10.1109/chinasip.2014.6889333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/chinasip.2014.6889333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","raw_type":"proceedings-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/A5077266611","display_name":"Jinyao Yan","orcid":"https://orcid.org/0000-0003-4153-313X"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jinyao Yan","raw_affiliation_strings":["Dept. Electrical and Computer Engineering, BEACON NSF Center for the Study of Evolution in Action, USA","Dept. Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Dept. Electrical and Computer Engineering, BEACON NSF Center for the Study of Evolution in Action, USA","institution_ids":[]},{"raw_affiliation_string":"Dept. Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110205031","display_name":"J.R. Deller","orcid":null},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J.R. Deller","raw_affiliation_strings":["Dept. Electrical and Computer Engineering, BEACON NSF Center for the Study of Evolution in Action, USA","Dept. Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Dept. Electrical and Computer Engineering, BEACON NSF Center for the Study of Evolution in Action, USA","institution_ids":[]},{"raw_affiliation_string":"Dept. Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350927","display_name":"Yao Meng","orcid":"https://orcid.org/0000-0003-3485-092X"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Yao","raw_affiliation_strings":["East China Normal University, Shanghai, China","East China Normal University, SHANGHAI, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"East China Normal University, SHANGHAI, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034853476","display_name":"Erik D. Goodman","orcid":"https://orcid.org/0000-0002-2419-0692"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"E.D. Goodman","raw_affiliation_strings":["Dept. Electrical and Computer Engineering, BEACON NSF Center for the Study of Evolution in Action, USA","Dept. Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Dept. Electrical and Computer Engineering, BEACON NSF Center for the Study of Evolution in Action, USA","institution_ids":[]},{"raw_affiliation_string":"Dept. Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5077266611"],"corresponding_institution_ids":["https://openalex.org/I87216513"],"apc_list":null,"apc_paid":null,"fwci":1.2173,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.81557642,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"693","last_page":"697"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10876","display_name":"Fault Detection and Control Systems","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10320","display_name":"Neural Networks and Applications","score":0.9757999777793884,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.669134259223938},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6496163606643677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6294876933097839},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.6059775948524475},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.5971447825431824},{"id":"https://openalex.org/keywords/nonlinear-system-identification","display_name":"Nonlinear system identification","score":0.5683720707893372},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.5485166907310486},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.5427470803260803},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5363489389419556},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.5350545644760132},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46544966101646423},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4307395815849304},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4250728487968445},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.41894158720970154},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38995641469955444},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37237703800201416},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3555085062980652},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.3271212577819824},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28265273571014404},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23814713954925537},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.13630270957946777}],"concepts":[{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.669134259223938},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6496163606643677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6294876933097839},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.6059775948524475},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.5971447825431824},{"id":"https://openalex.org/C22157029","wikidata":"https://www.wikidata.org/wiki/Q17080460","display_name":"Nonlinear system identification","level":4,"score":0.5683720707893372},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.5485166907310486},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.5427470803260803},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5363489389419556},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.5350545644760132},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46544966101646423},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4307395815849304},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4250728487968445},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.41894158720970154},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38995641469955444},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37237703800201416},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3555085062980652},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3271212577819824},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28265273571014404},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23814713954925537},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.13630270957946777},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/chinasip.2014.6889333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/chinasip.2014.6889333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1578536138","https://openalex.org/W1965514520","https://openalex.org/W2014574528","https://openalex.org/W2019794334","https://openalex.org/W2040135606","https://openalex.org/W2047094503","https://openalex.org/W2061938142","https://openalex.org/W2067245759","https://openalex.org/W2086423151","https://openalex.org/W2093244766","https://openalex.org/W2104752970","https://openalex.org/W2107073145","https://openalex.org/W2112840220","https://openalex.org/W2163758484","https://openalex.org/W4210814013","https://openalex.org/W4239732952"],"related_works":["https://openalex.org/W2152282424","https://openalex.org/W2091914113","https://openalex.org/W564324191","https://openalex.org/W2021395081","https://openalex.org/W2109007220","https://openalex.org/W4386033416","https://openalex.org/W2004841036","https://openalex.org/W1595492935","https://openalex.org/W3195467064","https://openalex.org/W2287383216"],"abstract_inverted_index":{"At":[0],"ChinaSIP":[1],"2013,":[2],"Yan":[3],"et":[4],"al.":[5],"presented":[6],"a":[7,94],"new":[8],"method":[9],"for":[10],"identification":[11,32],"of":[12,54,67,77,93,98],"system":[13,31],"models":[14,99],"that":[15,38],"are":[16,39],"linear":[17],"in":[18,24,43,63],"parametric":[19],"structure,":[20],"but":[21],"arbitrarily":[22],"nonlinear":[23],"signal":[25,44,105],"operations.":[26],"The":[27],"strategy":[28],"blends":[29],"traditional":[30],"methods":[33],"with":[34,100],"three":[35],"modeling":[36],"strategies":[37],"not":[40],"commonly":[41],"employed":[42],"processing:":[45],"linear-time-invariant-in-parameters":[46],"models,":[47],"set-based":[48],"parameter":[49],"identification,":[50],"and":[51,75],"evolutionary":[52,82],"selection":[53],"the":[55,64,68,73,78,81,88,91],"model":[56,83],"structure.":[57],"This":[58,85],"paper":[59],"reports":[60],"recent":[61],"advances":[62],"theoretical":[65],"foundation":[66],"methods,":[69],"then":[70],"focuses":[71],"on":[72],"operation":[74],"performance":[76],"approach,":[79],"particularly":[80],"determination.":[84],"work":[86],"opens":[87],"door":[89],"to":[90,102],"use":[92],"broadly":[95],"generalized":[96],"class":[97],"applicability":[101],"many":[103],"contemporary":[104],"processing":[106],"problems.":[107]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}