{"id":"https://openalex.org/W2171920386","doi":"https://doi.org/10.1109/icdim.2008.4746712","title":"Reinforcement _recurrent fuzzy rule based system based on brain emotional learning structure to predict the complexity dynamic system","display_name":"Reinforcement _recurrent fuzzy rule based system based on brain emotional learning structure to predict the complexity dynamic system","publication_year":2008,"publication_date":"2008-11-01","ids":{"openalex":"https://openalex.org/W2171920386","doi":"https://doi.org/10.1109/icdim.2008.4746712","mag":"2171920386"},"language":"en","primary_location":{"id":"doi:10.1109/icdim.2008.4746712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdim.2008.4746712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 Third International Conference on Digital Information Management","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/A5059133889","display_name":"Mahboobeh Parsapoor","orcid":"https://orcid.org/0000-0002-2943-4510"},"institutions":[{"id":"https://openalex.org/I155419210","display_name":"Islamic Azad University, Science and Research Branch","ror":"https://ror.org/03187yj51","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I155419210"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Mahboobeh Parsapoor","raw_affiliation_strings":["Islamic Azad University, Science and Research, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Islamic Azad University, Science and Research, Tehran, Iran","institution_ids":["https://openalex.org/I155419210"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103382008","display_name":"Caro Lucas","orcid":null},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Caro Lucas","raw_affiliation_strings":["Centre Of Excellence control and intelligent processing, ECE faculty,College of engineering, University of Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Centre Of Excellence control and intelligent processing, ECE faculty,College of engineering, University of Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112089222","display_name":"Saeid Setayeshi","orcid":null},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Saeid Setayeshi","raw_affiliation_strings":["Department of Physics and Nuclear Science, Amirkabir University of Technology\u00a0, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Physics and Nuclear Science, Amirkabir University of Technology\u00a0, Tehran, Iran","institution_ids":["https://openalex.org/I158248296"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059133889"],"corresponding_institution_ids":["https://openalex.org/I155419210"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.11923204,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"25","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9975000023841858,"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":0.9975000023841858,"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/T10244","display_name":"Chaos control and synchronization","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9797000288963318,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.669503927230835},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.6166349053382874},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5985981822013855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5964085459709167},{"id":"https://openalex.org/keywords/lorenz-system","display_name":"Lorenz system","score":0.570478081703186},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4992210865020752},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4475838541984558}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.669503927230835},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.6166349053382874},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5985981822013855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5964085459709167},{"id":"https://openalex.org/C151510863","wikidata":"https://www.wikidata.org/wiki/Q899844","display_name":"Lorenz system","level":3,"score":0.570478081703186},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4992210865020752},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4475838541984558}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdim.2008.4746712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdim.2008.4746712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 Third International Conference on Digital Information Management","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/W1529353710","https://openalex.org/W1540378271","https://openalex.org/W1562895369","https://openalex.org/W1969734163","https://openalex.org/W1979296470","https://openalex.org/W1979876542","https://openalex.org/W2005369724","https://openalex.org/W2038128936","https://openalex.org/W2042665911","https://openalex.org/W2106662297","https://openalex.org/W2124776405","https://openalex.org/W2134620325","https://openalex.org/W2143790340","https://openalex.org/W2153323278","https://openalex.org/W2162635690","https://openalex.org/W2271358270","https://openalex.org/W2477974133","https://openalex.org/W4238586295"],"related_works":["https://openalex.org/W2372129196","https://openalex.org/W2376048186","https://openalex.org/W4383955238","https://openalex.org/W1890102852","https://openalex.org/W2149205801","https://openalex.org/W4386858665","https://openalex.org/W2371307312","https://openalex.org/W2390700585","https://openalex.org/W3014044074","https://openalex.org/W1996785905"],"abstract_inverted_index":{"In":[0,160],"this":[1,28,36,83],"study,":[2],"new":[3],"approach":[4],"based":[5],"on":[6,151],"brain":[7,45],"emotional":[8,46],"Learning":[9],"process":[10],"is":[11,30,65,91,157],"presented":[12,137],"to":[13,31,49,54,56,71,85,139],"predict":[14,72],"chaotic":[15,127],"system":[16,90,174],"more":[17],"accurate":[18],"than":[19],"other":[20,97,102],"learning":[21,37,47,163],"models.":[22],"So":[23],"the":[24,33,41,69,73,79,125,133,141,147,152,155,162,169],"main":[25],"scope":[26],"of":[27,35,44,81,136,149,154,172],"paper":[29],"reveal":[32],"advantages":[34],"model":[38,48,70],"that":[39,100],"imitate":[40],"internal":[42],"representation":[43],"provide":[50],"a":[51,58,88],"correct":[52],"response":[53],"stimuli":[55],"state":[57,171],"purposeful":[59],"predicting":[60,124,168],"system.":[61,77],"The":[62,130],"convergence":[63],"theory":[64],"clarified":[66],"by":[67],"utilizing":[68],"complex":[74,89,173],"dynamical":[75],"Lorenz":[76,126],"Also":[78,146],"consequence":[80],"using":[82],"method":[84,138],"forecast":[86],"such":[87,104],"compared":[92],"with":[93,117,167,175],"obtained":[94],"results":[95],"from":[96],"related":[98],"studies":[99],"examine":[101],"methods":[103,164],"as":[105,179,181],"Locally":[106],"Linear":[107],"Model":[108],"Tree(LOLIMOT)":[109],"and":[110],"radial":[111],"basis":[112],"function":[113],"(RBF)":[114],"Neural":[115],"network":[116],"Orthogonal":[118],"lest":[119],"square":[120],"(OLS":[121],")":[122],"for":[123],"time":[128],"series.":[129],"comparison":[131],"indicates":[132],"superior":[134],"performance":[135,153],"make":[140],"multi":[142],"step":[143],"ahead":[144],"prediction.":[145],"effect":[148],"noise":[150],"techniques":[156],"also":[158],"considered.":[159],"deed,":[161],"could":[165],"deal":[166],"future":[170],"limited":[176],"training":[177],"data":[178,183],"well":[180],"large":[182],"set.":[184]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
