{"id":"https://openalex.org/W2095654738","doi":"https://doi.org/10.1109/fuzzy.2006.1682014","title":"Separated Antecedent and Consequent Learning for Takagi-Sugeno Fuzzy Systems","display_name":"Separated Antecedent and Consequent Learning for Takagi-Sugeno Fuzzy Systems","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2095654738","doi":"https://doi.org/10.1109/fuzzy.2006.1682014","mag":"2095654738"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2006.1682014","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2006.1682014","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Fuzzy Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://openresearch-repository.anu.edu.au/bitstreams/67c2fcf3-bd4d-4cbb-84a2-487a804f5a4d/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046625768","display_name":"J\u00e1nos Botzheim","orcid":"https://orcid.org/0000-0002-7838-6148"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]},{"id":"https://openalex.org/I3131446353","display_name":"Andr\u00e1ssy University Budapest","ror":"https://ror.org/05xezqk59","country_code":"HU","type":"education","lineage":["https://openalex.org/I3131446353"]}],"countries":["AU","HU"],"is_corresponding":false,"raw_author_name":"J. Botzheim","raw_affiliation_strings":["Department of Computer Science, Australian National University, Australia","Department of Telecommunication and Media Informatics, Budapest University\uc2a0of\uc2a0Technology\uc2a0and\uc2a0Economics, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Australian National University, Australia","institution_ids":["https://openalex.org/I118347636"]},{"raw_affiliation_string":"Department of Telecommunication and Media Informatics, Budapest University\uc2a0of\uc2a0Technology\uc2a0and\uc2a0Economics, Hungary","institution_ids":["https://openalex.org/I3131446353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010578654","display_name":"Edwin Lughofer","orcid":"https://orcid.org/0000-0003-1560-5136"},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"E. Lughofer","raw_affiliation_strings":["Department of Knowledge-based Mathematical Systems, Johannes Kepler University Linz, Linz, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Knowledge-based Mathematical Systems, Johannes Kepler University Linz, Linz, Austria","institution_ids":["https://openalex.org/I121883995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008349905","display_name":"Erich Peter Klement","orcid":"https://orcid.org/0000-0002-2054-3286"},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"E.P. Klement","raw_affiliation_strings":["Department of Knowledge-based Mathematical Systems, Johannes Kepler University Linz, Linz, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Knowledge-based Mathematical Systems, Johannes Kepler University Linz, Linz, Austria","institution_ids":["https://openalex.org/I121883995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020781131","display_name":"L\u00e1szl\u00f3 T. K\u00f3czy","orcid":"https://orcid.org/0000-0003-1316-4832"},"institutions":[{"id":"https://openalex.org/I3131446353","display_name":"Andr\u00e1ssy University Budapest","ror":"https://ror.org/05xezqk59","country_code":"HU","type":"education","lineage":["https://openalex.org/I3131446353"]},{"id":"https://openalex.org/I83579964","display_name":"Sz\u00e9chenyi Istv\u00e1n University","ror":"https://ror.org/04091f946","country_code":"HU","type":"education","lineage":["https://openalex.org/I83579964"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"L.T. Koczy","raw_affiliation_strings":["Department of Telecommunication and Media Informatics, Budapest University\uc2a0of\uc2a0Technology\uc2a0and\uc2a0Economics, Hungary","Sz\u00e9chenyi Istv\u00e1n University, Gyor, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Telecommunication and Media Informatics, Budapest University\uc2a0of\uc2a0Technology\uc2a0and\uc2a0Economics, Hungary","institution_ids":["https://openalex.org/I3131446353"]},{"raw_affiliation_string":"Sz\u00e9chenyi Istv\u00e1n University, Gyor, Hungary","institution_ids":["https://openalex.org/I83579964"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111839117","display_name":"Tom Gedeon","orcid":null},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"T.T.D. Gedeon","raw_affiliation_strings":["Department of Computer Science, Australian National University, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Australian National University, Australia","institution_ids":["https://openalex.org/I118347636"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7099,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.84452848,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"23","issue":null,"first_page":"2263","last_page":"2269"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9973000288009644,"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/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/antecedent","display_name":"Antecedent (behavioral psychology)","score":0.8768086433410645},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6027230620384216},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.519707977771759},{"id":"https://openalex.org/keywords/fuzzy-rule","display_name":"Fuzzy rule","score":0.5103892683982849},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48736482858657837},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.4755679965019226},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46136823296546936},{"id":"https://openalex.org/keywords/recursive-least-squares-filter","display_name":"Recursive least squares filter","score":0.4425009787082672},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.39950433373451233},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3864108920097351},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38409423828125},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35176870226860046},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09632423520088196}],"concepts":[{"id":"https://openalex.org/C2781256819","wikidata":"https://www.wikidata.org/wiki/Q16828835","display_name":"Antecedent (behavioral psychology)","level":2,"score":0.8768086433410645},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6027230620384216},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.519707977771759},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.5103892683982849},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48736482858657837},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.4755679965019226},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46136823296546936},{"id":"https://openalex.org/C145249878","wikidata":"https://www.wikidata.org/wiki/Q2835868","display_name":"Recursive least squares filter","level":3,"score":0.4425009787082672},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.39950433373451233},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3864108920097351},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38409423828125},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35176870226860046},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09632423520088196},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.0},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fuzzy.2006.1682014","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2006.1682014","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Fuzzy Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/35686","is_oa":true,"landing_page_url":"http://hdl.handle.net/1885/35686","pdf_url":"https://openresearch-repository.anu.edu.au/bitstreams/67c2fcf3-bd4d-4cbb-84a2-487a804f5a4d/download","source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings 2006 IEEE International Conference on Fuzzy Systems","raw_type":"Conference paper"}],"best_oa_location":{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/35686","is_oa":true,"landing_page_url":"http://hdl.handle.net/1885/35686","pdf_url":"https://openresearch-repository.anu.edu.au/bitstreams/67c2fcf3-bd4d-4cbb-84a2-487a804f5a4d/download","source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings 2006 IEEE International Conference on Fuzzy Systems","raw_type":"Conference paper"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321994","display_name":"Hungarian Scientific Research Fund","ror":"https://ror.org/00v349e63"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2095654738.pdf"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W49797043","https://openalex.org/W228634009","https://openalex.org/W1497256448","https://openalex.org/W1542813816","https://openalex.org/W1554944419","https://openalex.org/W1560688497","https://openalex.org/W1573503290","https://openalex.org/W1659842140","https://openalex.org/W1965324089","https://openalex.org/W2019207321","https://openalex.org/W2040810017","https://openalex.org/W2087070363","https://openalex.org/W2099703691","https://openalex.org/W2103269436","https://openalex.org/W2106504576","https://openalex.org/W2112077260","https://openalex.org/W2112081648","https://openalex.org/W2128539603","https://openalex.org/W2153263874","https://openalex.org/W2153338257","https://openalex.org/W2171033594","https://openalex.org/W3121926921","https://openalex.org/W3146863510","https://openalex.org/W4233391551","https://openalex.org/W4250503570","https://openalex.org/W6602038731","https://openalex.org/W6634288218","https://openalex.org/W6677088547","https://openalex.org/W7064367692"],"related_works":["https://openalex.org/W2944041987","https://openalex.org/W2014217581","https://openalex.org/W4242740646","https://openalex.org/W4254402015","https://openalex.org/W1525886636","https://openalex.org/W1602531054","https://openalex.org/W4239999152","https://openalex.org/W2973191244","https://openalex.org/W2145213470","https://openalex.org/W2038428770"],"abstract_inverted_index":{"In":[0,15],"this":[1],"paper":[2,118],"a":[3,36,88,102,110],"new":[4,134],"algorithm":[5,17,52],"for":[6,23,39],"the":[7,16,24,27,31,40,46,49,55,60,68,71,76,97,133],"learning":[8,19,43,112],"of":[9,30,48,92],"Takagi-Sugeno":[10],"fuzzy":[11,32,64,139],"systems":[12,65],"is":[13,119],"introduced.":[14],"different":[18],"techniques":[20,81],"are":[21,82],"applied":[22],"antecedent":[25,41],"and":[26,54,75,115,147],"consequent":[28],"parameters":[29,42,62],"system.":[33],"We":[34],"propose":[35],"hybrid":[37],"method":[38,135],"based":[44,124],"on":[45,125],"combination":[47],"bacterial":[50],"evolutionary":[51],"(BEA)":[53],"Levenberg-Marquardt":[56],"(LM)":[57],"method.":[58],"For":[59],"linear":[61,93],"in":[63,67,96],"appearing":[66],"rule":[69],"consequents":[70],"least":[72,78,98],"squares":[73,79,99],"(LS)":[74],"recursive":[77],"(RLS)":[80],"applied,":[83],"which":[84],"will":[85],"lead":[86],"to":[87,144],"global":[89],"optimal":[90],"solution":[91],"parameter":[94],"vectors":[95],"sense.":[100],"Therefore":[101],"better":[103],"performance":[104],"can":[105],"be":[106],"guaranteed":[107],"than":[108],"with":[109,136,142],"complete":[111],"by":[113,121],"BEA":[114],"LM.":[116],"The":[117],"concluded":[120],"evaluation":[122,130],"results":[123,131],"high-dimensional":[126],"test":[127],"data.":[128],"These":[129],"compare":[132],"some":[137],"conventional":[138],"training":[140],"methods":[141],"respect":[143],"approximation":[145],"accuracy":[146],"model":[148],"complexity.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}