{"id":"https://openalex.org/W2101070031","doi":"https://doi.org/10.1109/fuzzy.2004.1375483","title":"A self-organizing recurrent fuzzy CMAC model for dynamic system identification","display_name":"A self-organizing recurrent fuzzy CMAC model for dynamic system identification","publication_year":2005,"publication_date":"2005-02-28","ids":{"openalex":"https://openalex.org/W2101070031","doi":"https://doi.org/10.1109/fuzzy.2004.1375483","mag":"2101070031"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2004.1375483","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2004.1375483","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542)","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/A5052088046","display_name":"Cheng\u2010Jian Lin","orcid":"https://orcid.org/0000-0002-8709-2715"},"institutions":[{"id":"https://openalex.org/I126145234","display_name":"Chaoyang University of Technology","ror":"https://ror.org/04xwksx09","country_code":"TW","type":"education","lineage":["https://openalex.org/I126145234"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Cheng-Jian Lin","raw_affiliation_strings":["Department of Computer Science and Information Engineering, Chao Yang University of Technology, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Chao Yang University of Technology, Taichung, Taiwan","institution_ids":["https://openalex.org/I126145234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098549102","display_name":"Huei-Jen-Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I126145234","display_name":"Chaoyang University of Technology","ror":"https://ror.org/04xwksx09","country_code":"TW","type":"education","lineage":["https://openalex.org/I126145234"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Huei-Jen-Chen","raw_affiliation_strings":["Department of Computer Science and Information Engineering, Chao Yang University of Technology, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Chao Yang University of Technology, Taichung, Taiwan","institution_ids":["https://openalex.org/I126145234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047889463","display_name":"Chi-Yung Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I204246437","display_name":"Nan Kai University of Technology","ror":"https://ror.org/05v3pg621","country_code":"TW","type":"education","lineage":["https://openalex.org/I204246437"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chi-Yung Lee","raw_affiliation_strings":["Department of Electronic Engineering, Nankai College, Nantou, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Nankai College, Nantou, Taiwan","institution_ids":["https://openalex.org/I204246437"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052088046"],"corresponding_institution_ids":["https://openalex.org/I126145234"],"apc_list":null,"apc_paid":null,"fwci":4.3875,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.94347654,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"697","last_page":"702"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9908999800682068,"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":0.9908999800682068,"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":0.9868000149726868,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.955299973487854,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cerebellar-model-articulation-controller","display_name":"Cerebellar model articulation controller","score":0.878849983215332},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7089226841926575},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5256617665290833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.459220826625824},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.42440733313560486},{"id":"https://openalex.org/keywords/hypercube","display_name":"Hypercube","score":0.42376959323883057},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.4149826765060425},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.2785003185272217},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.26355499029159546},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.15969839692115784}],"concepts":[{"id":"https://openalex.org/C2780576740","wikidata":"https://www.wikidata.org/wiki/Q5064071","display_name":"Cerebellar model articulation controller","level":3,"score":0.878849983215332},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7089226841926575},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5256617665290833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.459220826625824},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.42440733313560486},{"id":"https://openalex.org/C50820777","wikidata":"https://www.wikidata.org/wiki/Q213723","display_name":"Hypercube","level":2,"score":0.42376959323883057},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.4149826765060425},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.2785003185272217},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.26355499029159546},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.15969839692115784},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2004.1375483","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2004.1375483","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542)","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":30,"referenced_works":["https://openalex.org/W1485959006","https://openalex.org/W1532907394","https://openalex.org/W1964809733","https://openalex.org/W1979222172","https://openalex.org/W1993740947","https://openalex.org/W2008687284","https://openalex.org/W2013815893","https://openalex.org/W2024285361","https://openalex.org/W2048907071","https://openalex.org/W2059529055","https://openalex.org/W2104727184","https://openalex.org/W2110485445","https://openalex.org/W2112317672","https://openalex.org/W2126146865","https://openalex.org/W2129572137","https://openalex.org/W2133267871","https://openalex.org/W2134383995","https://openalex.org/W2138484437","https://openalex.org/W2139891695","https://openalex.org/W2145264139","https://openalex.org/W2150509383","https://openalex.org/W2152926999","https://openalex.org/W2163014207","https://openalex.org/W2169990839","https://openalex.org/W2170937782","https://openalex.org/W2622737351","https://openalex.org/W4254816979","https://openalex.org/W6629193823","https://openalex.org/W6631649857","https://openalex.org/W6682525122"],"related_works":["https://openalex.org/W4286907761","https://openalex.org/W2916710807","https://openalex.org/W2413588304","https://openalex.org/W2009411567","https://openalex.org/W3205447645","https://openalex.org/W2097769911","https://openalex.org/W2371629703","https://openalex.org/W2774705104","https://openalex.org/W2122785676","https://openalex.org/W72835634"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,15,31],"self-organizing":[4],"recurrent":[5,19,153],"fuzzy":[6,61],"cerebellar":[7],"model":[8,12,55,76,121],"articulation":[9],"controller":[10],"(RFCMAC)":[11],"for":[13,69],"identifying":[14],"dynamic":[16],"system.":[17],"The":[18,81,115],"network":[20],"is":[21,52,67,86,108],"embedded":[22],"in":[23],"the":[24,36,39,56,60,70,74,78,89,95,99,112,118,139],"RFCMAC":[25,120],"by":[26],"adding":[27],"feedback":[28,40],"connections":[29],"with":[30],"receptive":[32],"field":[33],"cell":[34],"to":[35,54,92,110],"RFCMAC,":[37],"where":[38],"units":[41],"act":[42],"as":[43,124],"memory":[44,131,140],"elements.":[45],"A":[46,103],"nonconstant":[47],"differentiable":[48],"Gaussian":[49],"basis":[50],"function":[51],"used":[53,109],"hypercube":[57],"structure":[58,141],"and":[59,144],"weight.":[62],"An":[63],"online":[64],"learning":[65,79,106],"algorithm":[66,107],"proposed":[68,75,119],"automatic":[71],"construction":[72],"of":[73,98,117],"during":[77],"procedure.":[80],"self-constructing":[82],"input":[83,100],"space":[84],"partition":[85],"based":[87],"on":[88],"degree":[90],"measure":[91],"appropriately":[93],"determine":[94],"various":[96],"distributions":[97],"training":[101],"data.":[102],"gradient":[104],"descent":[105],"adjust":[111],"free":[113],"parameters.":[114],"advantages":[116],"are":[122],"summarized":[123],"follows:":[125],"(1)":[126],"it":[127,137,146],"requires":[128],"much":[129],"lower":[130],"requirement":[132],"than":[133,151],"other":[134,152],"models;":[135],"(2)":[136],"selects":[138],"parameters":[142],"automatically;":[143],"(3)":[145],"has":[147],"better":[148],"identification":[149],"performance":[150],"networks.":[154]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}