{"id":"https://openalex.org/W1481993126","doi":"https://doi.org/10.1109/icsmc.2003.1245716","title":"A novel design of self-organizing approximator technique: an evolutionary approach","display_name":"A novel design of self-organizing approximator technique: an evolutionary approach","publication_year":2004,"publication_date":"2004-04-23","ids":{"openalex":"https://openalex.org/W1481993126","doi":"https://doi.org/10.1109/icsmc.2003.1245716","mag":"1481993126"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2003.1245716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2003.1245716","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483)","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/A5100691401","display_name":"Dong-Won Kim","orcid":"https://orcid.org/0000-0002-8700-4199"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dong-Won Kim","raw_affiliation_strings":["Department of Electrical Engineering, Korea University, Seoul, South Korea","[Dept. of Electr. Eng., Korea Univ., Seoul, South Korea]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"[Dept. of Electr. Eng., Korea Univ., Seoul, South Korea]","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008982023","display_name":"Gwi-Tae Park","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Gwi-Tae Park","raw_affiliation_strings":["Department of Electrical Engineering, Korea University, Seoul, South Korea","[Dept. of Electr. Eng., Korea Univ., Seoul, South Korea]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"[Dept. of Electr. Eng., Korea Univ., Seoul, South Korea]","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3878,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.84103772,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"4643","last_page":"4648"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9908000230789185,"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":0.9908000230789185,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9908000230789185,"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/T12321","display_name":"Insect Pheromone Research and Control","score":0.958899974822998,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.656434178352356},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.6325603723526001},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.5809767246246338},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5488879084587097},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5361224412918091},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5022552013397217},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4960213601589203},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.44077765941619873},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4383390545845032},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4312281608581543},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3743823170661926},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2526807188987732},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2316456139087677},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16779717803001404},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07626396417617798}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.656434178352356},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.6325603723526001},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.5809767246246338},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5488879084587097},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5361224412918091},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5022552013397217},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4960213601589203},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.44077765941619873},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4383390545845032},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4312281608581543},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3743823170661926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2526807188987732},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2316456139087677},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16779717803001404},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07626396417617798},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/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/icsmc.2003.1245716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2003.1245716","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483)","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":21,"referenced_works":["https://openalex.org/W1770912791","https://openalex.org/W1966423772","https://openalex.org/W1984810512","https://openalex.org/W2031470529","https://openalex.org/W2032084249","https://openalex.org/W2074588395","https://openalex.org/W2087940330","https://openalex.org/W2091943474","https://openalex.org/W2140208274","https://openalex.org/W2146468668","https://openalex.org/W2150913357","https://openalex.org/W2159265133","https://openalex.org/W2159540571","https://openalex.org/W2164525173","https://openalex.org/W2313953460","https://openalex.org/W2892402700","https://openalex.org/W3023540311","https://openalex.org/W4253708194","https://openalex.org/W6680769793","https://openalex.org/W6684202361","https://openalex.org/W6754893358"],"related_works":["https://openalex.org/W3018365851","https://openalex.org/W3207484021","https://openalex.org/W2370815826","https://openalex.org/W2433057514","https://openalex.org/W2373436826","https://openalex.org/W2167961874","https://openalex.org/W2363214567","https://openalex.org/W3123600015","https://openalex.org/W2379002089","https://openalex.org/W2411838016"],"abstract_inverted_index":{"We":[0,136],"discuss":[1],"a":[2,38,45,63,106],"novel":[3],"design":[4,155],"methodology":[5],"of":[6,18,27,30,41,48,58,69,77,83],"self-organizing":[7],"approximator":[8],"technique":[9],"(self-organizing":[10],"polynomial":[11,46],"neural":[12],"networks)":[13],"(SOPNN)":[14],"in":[15],"the":[16,25,56,74,84,97,115,119,134,153],"framework":[17],"genetic":[19],"algorithm":[20,104],"(GA).":[21],"SOPNN":[22,59,103,117,150],"dwells":[23],"on":[24,62],"ideas":[26],"group":[28],"method":[29,108,156],"data":[31],"handling":[32],"(GMDH).":[33],"Its":[34],"each":[35,87],"node":[36],"exhibits":[37],"high":[39],"level":[40],"flexibility":[42],"and":[43,52,80,99,148],"realizes":[44],"type":[47,81],"mapping":[49],"between":[50],"input":[51,70,78],"output":[53],"variables.":[54],"But":[55],"performances":[57],"depend":[60],"strongly":[61],"few":[64],"factors.":[65],"They":[66],"are":[67,94],"number":[68,76],"variables":[71],"available":[72],"to":[73,86,132],"model,":[75],"variable":[79],"(order)":[82],"polynomials":[85],"node.":[88],"In":[89],"most":[90],"cases,":[91],"these":[92,138],"factors":[93],"determined":[95],"by":[96,140],"trial":[98],"error":[100],"method.":[101],"Moreover,":[102],"is":[105,118],"heuristic":[107],"so":[109],"it":[110],"does":[111],"not":[112],"guarantee":[113],"that":[114,152],"obtained":[116],"best":[120],"one":[121],"for":[122],"nonlinear":[123],"system":[124],"modeling.":[125],"Therefore,":[126],"more":[127],"attention":[128],"must":[129],"be":[130],"paid":[131],"solve":[133],"drawbacks.":[135],"alleviate":[137],"problems":[139],"using":[141],"GA.":[142],"Comparisons":[143],"with":[144],"other":[145],"modeling":[146],"methods":[147],"conventional":[149],"show":[151],"proposed":[154],"has":[157],"better":[158],"performance.":[159]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}