{"id":"https://openalex.org/W2088408557","doi":"https://doi.org/10.1109/apccas.2008.4746039","title":"Recurrent type ANFIS using local search technique for time series prediction","display_name":"Recurrent type ANFIS using local search technique for time series prediction","publication_year":2008,"publication_date":"2008-11-01","ids":{"openalex":"https://openalex.org/W2088408557","doi":"https://doi.org/10.1109/apccas.2008.4746039","mag":"2088408557"},"language":"en","primary_location":{"id":"doi:10.1109/apccas.2008.4746039","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apccas.2008.4746039","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems","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/A5047897885","display_name":"H. Tamura","orcid":"https://orcid.org/0009-0002-7888-5550"},"institutions":[{"id":"https://openalex.org/I118574687","display_name":"University of Miyazaki","ror":"https://ror.org/0447kww10","country_code":"JP","type":"education","lineage":["https://openalex.org/I118574687"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroki Tamura","raw_affiliation_strings":["Faculty of Engineering, University of MIYAZAKI, Miyazaki, Japan","Fac. of Eng., Univ. of MIYAZAKI, Miyazaki"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of MIYAZAKI, Miyazaki, Japan","institution_ids":["https://openalex.org/I118574687"]},{"raw_affiliation_string":"Fac. of Eng., Univ. of MIYAZAKI, Miyazaki","institution_ids":["https://openalex.org/I118574687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051384010","display_name":"Koichi Tanno","orcid":null},"institutions":[{"id":"https://openalex.org/I118574687","display_name":"University of Miyazaki","ror":"https://ror.org/0447kww10","country_code":"JP","type":"education","lineage":["https://openalex.org/I118574687"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Koichi Tanno","raw_affiliation_strings":["Faculty of Engineering, University of MIYAZAKI, Miyazaki, Japan","Fac. of Eng., Univ. of MIYAZAKI, Miyazaki"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of MIYAZAKI, Miyazaki, Japan","institution_ids":["https://openalex.org/I118574687"]},{"raw_affiliation_string":"Fac. of Eng., Univ. of MIYAZAKI, Miyazaki","institution_ids":["https://openalex.org/I118574687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040220999","display_name":"Hisasi Tanaka","orcid":null},"institutions":[{"id":"https://openalex.org/I118574687","display_name":"University of Miyazaki","ror":"https://ror.org/0447kww10","country_code":"JP","type":"education","lineage":["https://openalex.org/I118574687"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hisasi Tanaka","raw_affiliation_strings":["Faculty of Engineering, University of MIYAZAKI, Miyazaki, Japan","Fac. of Eng., Univ. of MIYAZAKI, Miyazaki"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of MIYAZAKI, Miyazaki, Japan","institution_ids":["https://openalex.org/I118574687"]},{"raw_affiliation_string":"Fac. of Eng., Univ. of MIYAZAKI, Miyazaki","institution_ids":["https://openalex.org/I118574687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054497727","display_name":"Catherine Vairappan","orcid":null},"institutions":[{"id":"https://openalex.org/I42766147","display_name":"University of Toyama","ror":"https://ror.org/0445phv87","country_code":"JP","type":"education","lineage":["https://openalex.org/I42766147"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Catherine Vairappan","raw_affiliation_strings":["Faculty of Engineering, University of TOYAMA, Toyama, Japan","Fac. of Eng., Univ. of TOYAMA, Toyama"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of TOYAMA, Toyama, Japan","institution_ids":["https://openalex.org/I42766147"]},{"raw_affiliation_string":"Fac. of Eng., Univ. of TOYAMA, Toyama","institution_ids":["https://openalex.org/I42766147"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100704278","display_name":"Zheng Tang","orcid":"https://orcid.org/0000-0002-6543-7444"},"institutions":[{"id":"https://openalex.org/I42766147","display_name":"University of Toyama","ror":"https://ror.org/0445phv87","country_code":"JP","type":"education","lineage":["https://openalex.org/I42766147"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zheng Tang","raw_affiliation_strings":["Faculty of Engineering, University of TOYAMA, Toyama, Japan","Fac. of Eng., Univ. of TOYAMA, Toyama"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of TOYAMA, Toyama, Japan","institution_ids":["https://openalex.org/I42766147"]},{"raw_affiliation_string":"Fac. of Eng., Univ. of TOYAMA, Toyama","institution_ids":["https://openalex.org/I42766147"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5878,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.78705168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"3","issue":null,"first_page":"380","last_page":"383"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9991000294685364,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/adaptive-neuro-fuzzy-inference-system","display_name":"Adaptive neuro fuzzy inference system","score":0.8965153694152832},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6878251433372498},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6815739870071411},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6726455092430115},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5648487210273743},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.541810154914856},{"id":"https://openalex.org/keywords/inference-system","display_name":"Inference system","score":0.4441668391227722},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.4151465892791748},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40536460280418396},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3315790891647339},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3278738260269165},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.30770063400268555},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.29869091510772705},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.2501855790615082},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.24631214141845703},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15745261311531067}],"concepts":[{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.8965153694152832},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6878251433372498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6815739870071411},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6726455092430115},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5648487210273743},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.541810154914856},{"id":"https://openalex.org/C2988105877","wikidata":"https://www.wikidata.org/wiki/Q1341685","display_name":"Inference system","level":5,"score":0.4441668391227722},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.4151465892791748},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40536460280418396},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3315790891647339},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3278738260269165},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30770063400268555},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.29869091510772705},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.2501855790615082},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.24631214141845703},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15745261311531067},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apccas.2008.4746039","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apccas.2008.4746039","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1482573174","https://openalex.org/W1520013951","https://openalex.org/W1965324089","https://openalex.org/W1980418485","https://openalex.org/W1995234002","https://openalex.org/W2019207321","https://openalex.org/W2040419414","https://openalex.org/W2064856647","https://openalex.org/W2104727184","https://openalex.org/W2118415523","https://openalex.org/W2124959620","https://openalex.org/W2133267871","https://openalex.org/W2133656308","https://openalex.org/W2150781240","https://openalex.org/W2151398376","https://openalex.org/W2162635690","https://openalex.org/W6628880053","https://openalex.org/W6631227322"],"related_works":["https://openalex.org/W4319296131","https://openalex.org/W2389800468","https://openalex.org/W1972110671","https://openalex.org/W3207731800","https://openalex.org/W2008638559","https://openalex.org/W3144388600","https://openalex.org/W2912901340","https://openalex.org/W2905122356","https://openalex.org/W2766816807","https://openalex.org/W4307525282"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,49,112],"improved":[4,50,113],"adaptive":[5],"neuro-fuzzy":[6],"inference":[7],"system":[8,82],"(ANFIS)":[9],"for":[10],"the":[11,41,62,74,80,95,109],"application":[12],"of":[13,52,79],"time":[14,42,89,99],"series":[15,43,90,100],"prediction.":[16],"Because":[17],"ANFIS":[18,53],"is":[19,27,54,70,83,102],"based":[20],"on":[21],"a":[22],"feedforward":[23],"network":[24],"structure,":[25],"it":[26],"limited":[28],"to":[29,72],"static":[30],"problem":[31],"and":[32,92],"cannot":[33],"effectively":[34],"cope":[35],"with":[36,94],"dynamic":[37],"properties":[38],"such":[39],"as":[40],"data.":[44],"To":[45],"overcome":[46],"this":[47],"problem,":[48],"version":[51],"proposed":[55,75,81],"by":[56,85],"introducing":[57],"self-feedback":[58],"connections":[59],"that":[60],"model":[61],"temporal":[63],"dependence.":[64],"A":[65],"batch":[66],"type":[67],"local":[68],"search":[69],"suggested":[71],"train":[73],"system.":[76],"The":[77,105],"effectiveness":[78],"tested":[84],"using":[86],"two":[87],"benchmark":[88],"examples":[91],"comparison":[93],"various":[96],"models":[97],"in":[98],"prediction":[101],"also":[103],"shown.":[104],"results":[106],"obtained":[107],"from":[108],"simulation":[110],"show":[111],"performance.":[114]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}