{"id":"https://openalex.org/W2086423151","doi":"https://doi.org/10.1109/chinasip.2013.6625294","title":"Evolutionary identification of nonlinear parametric models with a set-theoretic fitness criterion","display_name":"Evolutionary identification of nonlinear parametric models with a set-theoretic fitness criterion","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2086423151","doi":"https://doi.org/10.1109/chinasip.2013.6625294","mag":"2086423151"},"language":"en","primary_location":{"id":"doi:10.1109/chinasip.2013.6625294","is_oa":false,"landing_page_url":"https://doi.org/10.1109/chinasip.2013.6625294","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE China Summit and International Conference on Signal and Information Processing","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":["Department Electrical & Computer Engineering and BEACON Center, Michigan State University, Lansing, MI, USA","Dept. Elec. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department Electrical & Computer Engineering and BEACON Center, Michigan State University, Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"Dept. Elec. & 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":["Department Electrical & Computer Engineering and BEACON Center, Michigan State University, Lansing, MI, USA","Dept. Elec. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department Electrical & Computer Engineering and BEACON Center, Michigan State University, Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"Dept. Elec. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039982315","display_name":"Blair D. Fleet","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":"B. D. Fleet","raw_affiliation_strings":["Department Electrical & Computer Engineering and BEACON Center, Michigan State University, Lansing, MI, USA","Dept. Elec. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department Electrical & Computer Engineering and BEACON Center, Michigan State University, Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"Dept. Elec. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","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":["Department Electrical & Computer Engineering and BEACON Center, Michigan State University, Lansing, MI, USA","Dept. Elec. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department Electrical & Computer Engineering and BEACON Center, Michigan State University, Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"Dept. Elec. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011418403","display_name":"Meng Yao","orcid":"https://orcid.org/0000-0001-9713-8265"},"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":["Institute Information Science & Technology, East China Normal University, Shanghai, China","Inst. Inf. Sci. & Tech., E. China Normal Univ., Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute Information Science & Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Inst. Inf. Sci. & Tech., E. China Normal Univ., Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5077266611"],"corresponding_institution_ids":["https://openalex.org/I87216513"],"apc_list":null,"apc_paid":null,"fwci":1.9237,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.88499662,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"44","last_page":"48"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9976999759674072,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9976999759674072,"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/T11236","display_name":"Control Systems and Identification","score":0.9970999956130981,"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/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.7217721343040466},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.7097232341766357},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6229267120361328},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.5880833268165588},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5058621764183044},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5021109580993652},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49499887228012085},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4908753037452698},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.4906364977359772},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4855601489543915},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.469719797372818},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45309334993362427},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4501606225967407},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.43355563282966614},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.41589516401290894},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37164628505706787},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.17658394575119019},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.11606037616729736},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10115808248519897},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07846644520759583}],"concepts":[{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.7217721343040466},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.7097232341766357},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6229267120361328},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.5880833268165588},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5058621764183044},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5021109580993652},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49499887228012085},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4908753037452698},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.4906364977359772},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4855601489543915},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.469719797372818},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45309334993362427},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4501606225967407},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.43355563282966614},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.41589516401290894},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37164628505706787},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.17658394575119019},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.11606037616729736},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10115808248519897},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07846644520759583},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/chinasip.2013.6625294","is_oa":false,"landing_page_url":"https://doi.org/10.1109/chinasip.2013.6625294","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE China Summit and International Conference on Signal and Information Processing","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":14,"referenced_works":["https://openalex.org/W178056938","https://openalex.org/W1433481981","https://openalex.org/W1519380846","https://openalex.org/W1589720045","https://openalex.org/W1776031916","https://openalex.org/W1963564550","https://openalex.org/W1965514520","https://openalex.org/W2067245759","https://openalex.org/W2094553393","https://openalex.org/W2104752970","https://openalex.org/W2105217850","https://openalex.org/W2120940840","https://openalex.org/W2284148283","https://openalex.org/W6628583922"],"related_works":["https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2391924736","https://openalex.org/W3133779647","https://openalex.org/W1560122427","https://openalex.org/W2021957875","https://openalex.org/W2802808995","https://openalex.org/W2593449396","https://openalex.org/W2780789525","https://openalex.org/W2101377286"],"abstract_inverted_index":{"System":[0],"models":[1],"that":[2,66],"are":[3,14,56],"linear":[4],"in":[5,11,44,90],"parametric":[6],"structure,":[7],"but":[8],"arbitrarily":[9],"nonlinear":[10,63],"signal":[12],"operations,":[13],"identified":[15],"using":[16],"an":[17],"approach":[18],"with":[19],"two":[20],"novel":[21],"components.":[22],"The":[23,81],"fundamental":[24],"parameter":[25],"estimation":[26],"task":[27],"(the":[28],"\u201clinear\u201d":[29],"part)":[30],"uses":[31],"a":[32,86],"set-theoretic":[33],"analysis":[34],"of":[35,42,46,62,72],"the":[36,60,73,79],"data":[37],"to":[38,58,77],"deduce":[39],"feasible":[40],"sets":[41],"solutions":[43],"light":[45],"certain":[47],"model":[48,74],"assumptions.":[49],"In":[50],"turn,":[51],"measurable":[52],"set":[53],"solution":[54,82],"properties":[55],"used":[57],"assess":[59],"viability":[61],"regressor":[64],"functions":[65],"compete":[67],"for":[68],"\u201csurvival\u201d":[69],"as":[70,85],"components":[71],"best":[75],"fit":[76],"represent":[78],"system.":[80],"is":[83],"formulated":[84],"somewhat":[87],"unconventional":[88],"exercise":[89],"evolutionary":[91],"computation.":[92]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}