{"id":"https://openalex.org/W1502471082","doi":"https://doi.org/10.1109/icsmc.2003.1244272","title":"Structural learning of RBF-fuzzy rule bases based on information criteria and degeneration","display_name":"Structural learning of RBF-fuzzy rule bases based on information criteria and degeneration","publication_year":2004,"publication_date":"2004-05-25","ids":{"openalex":"https://openalex.org/W1502471082","doi":"https://doi.org/10.1109/icsmc.2003.1244272","mag":"1502471082"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2003.1244272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2003.1244272","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/A5039767363","display_name":"Tetsuyuki Takahama","orcid":null},"institutions":[{"id":"https://openalex.org/I57930482","display_name":"Hiroshima City University","ror":"https://ror.org/001et4e78","country_code":"JP","type":"education","lineage":["https://openalex.org/I57930482"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"T. Takahama","raw_affiliation_strings":["Department of Intelligent Systems, Hiroshima City University, Hiroshima, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Intelligent Systems, Hiroshima City University, Hiroshima, Japan","institution_ids":["https://openalex.org/I57930482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111940759","display_name":"Setsuko Sakai","orcid":null},"institutions":[{"id":"https://openalex.org/I134282035","display_name":"Hiroshima Shudo University","ror":"https://ror.org/05n757p35","country_code":"JP","type":"education","lineage":["https://openalex.org/I134282035"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"S. Sakai","raw_affiliation_strings":["Faculty of Commercial Sciences, Hiroshima Shudo University, Hiroshima, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Commercial Sciences, Hiroshima Shudo University, Hiroshima, Japan","institution_ids":["https://openalex.org/I134282035"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000550092","display_name":"Noriyuki Iwane","orcid":null},"institutions":[{"id":"https://openalex.org/I57930482","display_name":"Hiroshima City University","ror":"https://ror.org/001et4e78","country_code":"JP","type":"education","lineage":["https://openalex.org/I57930482"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"N. Iwane","raw_affiliation_strings":["Department of Intelligent Systems, Hiroshima City University, Hiroshima, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Intelligent Systems, Hiroshima City University, Hiroshima, Japan","institution_ids":["https://openalex.org/I57930482"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039767363"],"corresponding_institution_ids":["https://openalex.org/I57930482"],"apc_list":null,"apc_paid":null,"fwci":1.7988,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.86548448,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"2581","last_page":"2586"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9997000098228455,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9997000098228455,"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/T10320","display_name":"Neural Networks and Applications","score":0.9979000091552734,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/computer-science","display_name":"Computer science","score":0.617594838142395},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.599633514881134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5527009963989258},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5125436782836914},{"id":"https://openalex.org/keywords/fuzzy-rule","display_name":"Fuzzy rule","score":0.4572860598564148},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.43856000900268555},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4057927131652832},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34796279668807983}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.617594838142395},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.599633514881134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5527009963989258},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5125436782836914},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.4572860598564148},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.43856000900268555},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4057927131652832},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34796279668807983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2003.1244272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2003.1244272","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":[{"id":"https://openalex.org/F4320315254","display_name":"Innovative Research Group Project of the National Natural Science Foundation of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W165295313","https://openalex.org/W1592552510","https://openalex.org/W1600396716","https://openalex.org/W1787544972","https://openalex.org/W1833551584","https://openalex.org/W1968908999","https://openalex.org/W1977090418","https://openalex.org/W1996929184","https://openalex.org/W2002211740","https://openalex.org/W2003407374","https://openalex.org/W2028069051","https://openalex.org/W2030404411","https://openalex.org/W2062025564","https://openalex.org/W2079325629","https://openalex.org/W2094975945","https://openalex.org/W2106596127","https://openalex.org/W2117180875","https://openalex.org/W2142635246","https://openalex.org/W2147299889","https://openalex.org/W6635855494","https://openalex.org/W6638021218","https://openalex.org/W6650739863","https://openalex.org/W6681810819"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4224009465","https://openalex.org/W4306674287","https://openalex.org/W4286629047","https://openalex.org/W2078633362","https://openalex.org/W4205958290","https://openalex.org/W135622916","https://openalex.org/W1822436433","https://openalex.org/W2135010468","https://openalex.org/W2148203161"],"abstract_inverted_index":{"There":[0],"are":[1,80,108],"some":[2,81],"difficulties":[3],"in":[4,90,101,124,136],"researches":[5],"on":[6],"supervised":[7],"learning":[8,150],"using":[9],"fuzzy":[10,153],"rule-based":[11,154],"systems:":[12],"the":[13,21,50,58,75,96,120,128,131,148],"difficulty":[14,22],"of":[15,23,53,98,151],"selecting":[16,24],"effective":[17,146],"input":[18],"variables":[19],"and":[20,105,127],"a":[25],"proper":[26],"rule":[27],"structure.":[28],"To":[29],"solve":[30],"these":[31],"difficulties,":[32],"we":[33],"proposed":[34],"GA/sup":[35,72],"d/":[36,73],"(Genetic":[37],"Algorithm":[38],"with":[39],"Degeneration),":[40],"which":[41,102],"performs":[42],"structural":[43,149],"learning.":[44],"It":[45,139],"is":[46,111,122,140,145],"thought":[47],"that":[48,142],"if":[49],"information":[51,76,106,132],"criteria":[52,77,107,133],"systems":[54,60],"can":[55,65],"be":[56,88],"optimized,":[57,110],"obtained":[59],"become":[61],"more":[62],"general,":[63],"or":[64],"explain":[66],"unlearned":[67],"data":[68],"better.":[69],"But":[70],"when":[71,83],"optimizes":[74],"directly,":[78],"there":[79],"cases":[82],"too":[84],"many":[85],"parameters":[86],"will":[87],"lost":[89],"earlier":[91,125],"generations.":[92,138],"In":[93],"this":[94,115,143],"study,":[95],"idea":[97,144],"multi-objective":[99],"optimization,":[100],"estimation":[103],"errors":[104,121],"both":[109],"introduced":[112],"to":[113,147],"avoid":[114],"problem.":[116],"The":[117],"weight":[118,129],"for":[119,130],"bigger":[123,135],"generations":[126],"becomes":[134],"later":[137],"shown":[141],"RBF":[152],"systems.":[155]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
