{"id":"https://openalex.org/W2138496545","doi":"https://doi.org/10.1109/ijcnn.2010.5596373","title":"Prediction and identification using recurrent wavelet-based cerebellar model articulation controller neural networks","display_name":"Prediction and identification using recurrent wavelet-based cerebellar model articulation controller neural networks","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2138496545","doi":"https://doi.org/10.1109/ijcnn.2010.5596373","mag":"2138496545"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2010.5596373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596373","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2010 International Joint Conference on Neural Networks (IJCNN)","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/A5082666148","display_name":"Yu-Lin Liao","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yu-Lin Liao","raw_affiliation_strings":["Department of Business Administration, Ching Yun University of Technology, Taoyuan, Taiwan","Department of Business Administration, Ching-Yun University, Taoyuan 320, Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"Department of Business Administration, Ching Yun University of Technology, Taoyuan, Taiwan","institution_ids":[]},{"raw_affiliation_string":"Department of Business Administration, Ching-Yun University, Taoyuan 320, Taiwan, R.O.C","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014791258","display_name":"Che-Cheng Kuo","orcid":null},"institutions":[{"id":"https://openalex.org/I165106657","display_name":"Chien Hsin University of Science and Technology","ror":"https://ror.org/05fbv4544","country_code":"TW","type":"education","lineage":["https://openalex.org/I165106657"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Che-Cheng Kuo","raw_affiliation_strings":["Department of Electrical Engineering, Ching Yun University of Technology, Taoyuan, Taiwan","Department of Electrical Engineering, Ching-Yun University Taoyuan 320, Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Ching Yun University of Technology, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I165106657"]},{"raw_affiliation_string":"Department of Electrical Engineering, Ching-Yun University Taoyuan 320, Taiwan, R.O.C","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110260353","display_name":"Ya-Fu Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I165106657","display_name":"Chien Hsin University of Science and Technology","ror":"https://ror.org/05fbv4544","country_code":"TW","type":"education","lineage":["https://openalex.org/I165106657"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ya-Fu Peng","raw_affiliation_strings":["Department of Electrical Engineering, Ching Yun University of Technology, Taoyuan, Taiwan","Department of Electrical Engineering, Ching-Yun University Taoyuan 320, Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Ching Yun University of Technology, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I165106657"]},{"raw_affiliation_string":"Department of Electrical Engineering, Ching-Yun University Taoyuan 320, Taiwan, R.O.C","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5082666148"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.17372277,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10542","display_name":"Vestibular and auditory disorders","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10542","display_name":"Vestibular and auditory disorders","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.967199981212616,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9509999752044678,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cerebellar-model-articulation-controller","display_name":"Cerebellar model articulation controller","score":0.9463739395141602},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7459769248962402},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.572460412979126},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5655300617218018},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5446497797966003},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5001735687255859},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.48868563771247864},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.4705432057380676},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4397635757923126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4263474941253662},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20856007933616638},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.11825644969940186}],"concepts":[{"id":"https://openalex.org/C2780576740","wikidata":"https://www.wikidata.org/wiki/Q5064071","display_name":"Cerebellar model articulation controller","level":3,"score":0.9463739395141602},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7459769248962402},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.572460412979126},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5655300617218018},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5446497797966003},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5001735687255859},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.48868563771247864},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.4705432057380676},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4397635757923126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4263474941253662},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20856007933616638},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.11825644969940186},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2010.5596373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596373","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2010 International Joint Conference on Neural Networks (IJCNN)","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":23,"referenced_works":["https://openalex.org/W1981107783","https://openalex.org/W1993740947","https://openalex.org/W2070046637","https://openalex.org/W2075788686","https://openalex.org/W2085555526","https://openalex.org/W2097930197","https://openalex.org/W2098386213","https://openalex.org/W2103441694","https://openalex.org/W2104727184","https://openalex.org/W2109115823","https://openalex.org/W2111700964","https://openalex.org/W2112012337","https://openalex.org/W2119305838","https://openalex.org/W2127390588","https://openalex.org/W2127919919","https://openalex.org/W2136838997","https://openalex.org/W2137226063","https://openalex.org/W2138484437","https://openalex.org/W2139011379","https://openalex.org/W2139891695","https://openalex.org/W2171506994","https://openalex.org/W2172029845","https://openalex.org/W2293747114"],"related_works":["https://openalex.org/W2109289736","https://openalex.org/W2355060733","https://openalex.org/W169781907","https://openalex.org/W2019100121","https://openalex.org/W2145264139","https://openalex.org/W3152424914","https://openalex.org/W4312495163","https://openalex.org/W2123432260","https://openalex.org/W1973407083","https://openalex.org/W2365123818"],"abstract_inverted_index":{"A":[0],"recurrent":[1,50],"wavelet-based":[2],"cerebellar":[3,32],"model":[4,33],"articulation":[5,34],"controller":[6,35],"(RWCMAC)":[7],"neural":[8,37],"network":[9,38,51],"used":[10],"for":[11],"solving":[12],"the":[13,30,55,62,70,73,77,97,109,115,130,154,160],"prediction":[14],"and":[15,46,145],"identification":[16],"problem":[17],"is":[18,52,89,105,132],"proposed":[19,24,106,161],"in":[20,39,54,61,134],"this":[21],"paper.":[22],"The":[23,49,84],"RWCMAC":[25,56,71,93,112,131],"has":[26],"superior":[27,146],"capability":[28,158],"to":[29,91,107,121],"conventional":[31],"(CMAC)":[36],"efficient":[40],"learning":[41,157],"mechanism,":[42],"guaranteed":[43],"system":[44],"stability":[45],"dynamic":[47,74,85,147],"response.":[48],"embedded":[53],"by":[57],"adding":[58],"feedback":[59,78],"connections":[60],"mother":[63],"wavelet":[64],"association":[65],"memory":[66,82],"space":[67],"so":[68,113],"that":[69,114,141],"captures":[72],"response,":[75],"where":[76],"units":[79],"act":[80],"as":[81],"elements.":[83],"gradient":[86],"descent":[87],"method":[88,99],"adopted":[90],"adjust":[92],"parameters":[94],"on-line.":[95],"Moreover,":[96],"analytical":[98],"based":[100],"on":[101],"a":[102],"Lyapunov":[103],"function":[104],"determine":[108],"learning-rates":[110,118],"of":[111,126,153,159],"variable":[116],"optimal":[117],"are":[119],"derived":[120],"achieve":[122],"most":[123],"rapid":[124],"convergence":[125],"identifying":[127,143],"error.":[128],"Finally,":[129],"applied":[133],"two":[135],"computer":[136],"simulations.":[137],"Simulation":[138],"results":[139],"show":[140],"accurate":[142],"response":[144],"performance":[148],"can":[149],"be":[150],"obtained":[151],"because":[152],"powerful":[155],"on-line":[156],"RWCMAC.":[162]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}