{"id":"https://openalex.org/W1751450240","doi":"https://doi.org/10.3233/ifs-2012-0589","title":"A fast learnt fuzzy neural network for huge scale discrete data function approximation and prediction","display_name":"A fast learnt fuzzy neural network for huge scale discrete data function approximation and prediction","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W1751450240","doi":"https://doi.org/10.3233/ifs-2012-0589","mag":"1751450240"},"language":"en","primary_location":{"id":"doi:10.3233/ifs-2012-0589","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ifs-2012-0589","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-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/A5052408459","display_name":"Omid Khayat","orcid":"https://orcid.org/0000-0001-5443-4590"},"institutions":[{"id":"https://openalex.org/I136830121","display_name":"Islamic Azad University South Tehran Branch","ror":"https://ror.org/02xc21a77","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I136830121"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Omid Khayat","raw_affiliation_strings":["Young Researchers Club, South Tehran Branch, Islamic Azad University, Tehran, Iran","(Young Researchers Club, South Tehran Branch, Islamic Azad University, Tehran, Iran)"],"affiliations":[{"raw_affiliation_string":"Young Researchers Club, South Tehran Branch, Islamic Azad University, Tehran, Iran","institution_ids":["https://openalex.org/I136830121"]},{"raw_affiliation_string":"(Young Researchers Club, South Tehran Branch, Islamic Azad University, Tehran, Iran)","institution_ids":["https://openalex.org/I136830121"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039323805","display_name":"Javad Razjouyan","orcid":"https://orcid.org/0000-0003-1157-159X"},"institutions":[{"id":"https://openalex.org/I115420810","display_name":"Islamic Azad University of Garmsar","ror":"https://ror.org/025p0rk11","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I115420810"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Javad Razjouyan","raw_affiliation_strings":["Garmsar Branch, Islamic Azad University, Garmsar, Iran"],"affiliations":[{"raw_affiliation_string":"Garmsar Branch, Islamic Azad University, Garmsar, Iran","institution_ids":["https://openalex.org/I115420810"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043040950","display_name":"Fereidoun Nowshiravan Rahatabad","orcid":"https://orcid.org/0000-0002-7340-9216"},"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":false,"raw_author_name":"Fereidoun Nowshiravan Rahatabad","raw_affiliation_strings":["Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran","Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran,"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran","institution_ids":["https://openalex.org/I155419210"]},{"raw_affiliation_string":"Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran,","institution_ids":["https://openalex.org/I155419210"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113701719","display_name":"Hadi Chahkandi Nejad","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122540","display_name":"Islamic Azad University of Birjand","ror":"https://ror.org/02p42am41","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I4210122540"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Hadi Chahkandi Nejad","raw_affiliation_strings":["Birjand Branch, Islamic Azad University, Birjand, Iran","Birjand branch, Islamic Azad University, Birjand, Iran"],"affiliations":[{"raw_affiliation_string":"Birjand Branch, Islamic Azad University, Birjand, Iran","institution_ids":["https://openalex.org/I4210122540"]},{"raw_affiliation_string":"Birjand branch, Islamic Azad University, Birjand, Iran","institution_ids":["https://openalex.org/I4210122540"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052408459"],"corresponding_institution_ids":["https://openalex.org/I136830121"],"apc_list":null,"apc_paid":null,"fwci":0.9618,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80761255,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"24","issue":"4","first_page":"693","last_page":"701"},"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":0.9991999864578247,"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/T10057","display_name":"Face and Expression Recognition","score":0.97079998254776,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.7109166979789734},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6366708278656006},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5283794403076172},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48718684911727905},{"id":"https://openalex.org/keywords/function-approximation","display_name":"Function approximation","score":0.44672852754592896},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4235439598560333},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.42309486865997314},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.407582551240921},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37611880898475647},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.05024445056915283},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.04137346148490906}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7109166979789734},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6366708278656006},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5283794403076172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48718684911727905},{"id":"https://openalex.org/C91873725","wikidata":"https://www.wikidata.org/wiki/Q3445816","display_name":"Function approximation","level":3,"score":0.44672852754592896},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4235439598560333},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.42309486865997314},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.407582551240921},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37611880898475647},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.05024445056915283},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.04137346148490906},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ifs-2012-0589","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ifs-2012-0589","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1562919956","https://openalex.org/W1569189826","https://openalex.org/W1574484354","https://openalex.org/W1780285961","https://openalex.org/W1968082616","https://openalex.org/W1983425265","https://openalex.org/W1995365592","https://openalex.org/W2001255626","https://openalex.org/W2002430706","https://openalex.org/W2014660138","https://openalex.org/W2019207321","https://openalex.org/W2022062543","https://openalex.org/W2025218859","https://openalex.org/W2025535886","https://openalex.org/W2035137051","https://openalex.org/W2039223699","https://openalex.org/W2046738003","https://openalex.org/W2050288270","https://openalex.org/W2077537188","https://openalex.org/W2078094465","https://openalex.org/W2087043638","https://openalex.org/W2097643112","https://openalex.org/W2103414828","https://openalex.org/W2113772493","https://openalex.org/W2118415523","https://openalex.org/W2123751209","https://openalex.org/W2128266155","https://openalex.org/W2134961275","https://openalex.org/W2139735914","https://openalex.org/W2141649146","https://openalex.org/W2153232138","https://openalex.org/W2155399784","https://openalex.org/W2156222099","https://openalex.org/W2164761620","https://openalex.org/W2165729498","https://openalex.org/W2168993425","https://openalex.org/W2169934749","https://openalex.org/W2170081201","https://openalex.org/W2281634319"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W2391251536","https://openalex.org/W2362198218","https://openalex.org/W1984922432","https://openalex.org/W1982750869","https://openalex.org/W2375008505","https://openalex.org/W2086348228","https://openalex.org/W2019521278","https://openalex.org/W2350679292","https://openalex.org/W2380199044"],"abstract_inverted_index":{"In":[0],"real":[1],"world":[2],"dataset,":[3],"there":[4],"are":[5,95,194],"often":[6],"large":[7],"amount":[8,41],"of":[9,36,42,83,99,121,126,133,146,181,209],"discrete":[10],"data":[11,43],"that":[12,201],"the":[13,16,37,81,84,96,100,123,127,130,144,159,169,177,182,186,190,202],"concern":[14,58],"is":[15,72,86,135,150,162,173,205],"interpolation":[17],"and/or":[18],"extrapolation":[19],"by":[20],"an":[21,164],"approximation":[22],"tool.":[23],"Therefore,":[24],"a":[25,51,59,66,139,154],"training":[26,54,140,148],"process":[27,94,141,166],"will":[28],"be":[29],"actually":[30],"used":[31],"for":[32],"definition":[33],"and":[34,50,70,80,91,110,137,185,216],"construction":[35],"approximator":[38,69],"parameters.":[39],"Huge":[40],"may":[44],"lead":[45],"to":[46,152,175,199],"high":[47],"computation":[48],"time":[49,52],"consuming":[53],"process.":[55],"To":[56],"this":[57,75],"fast":[60,92],"learnt":[61],"fuzzy":[62],"neural":[63],"network":[64,85,128,160],"as":[65],"robust":[67],"function":[68],"predictor":[71],"proposed":[73,203],"in":[74,88,207],"paper.":[76],"The":[77],"learning":[78,93,217],"procedure":[79],"structure":[82,109,125,161],"described":[87],"detail.":[89],"Simplicity":[90],"main":[97],"features":[98],"proposing":[101],"Self-Organizing":[102],"Fuzzy":[103],"Neural":[104],"Network":[105],"(SOFNN),":[106],"which":[107],"automates":[108],"parameter":[111,179],"identification":[112],"simultaneously":[113],"based":[114,142,167],"on":[115,143,168],"input-target":[116],"samples.":[117],"First,":[118],"without":[119],"need":[120],"clustering,":[122],"initial":[124],"with":[129,196],"specified":[131],"number":[132],"rules":[134],"established,":[136],"then":[138],"error":[145,171],"other":[147,197],"samples":[149],"applied":[151],"obtain":[153],"more":[155],"precision":[156],"model.":[157],"After":[158],"identified,":[163],"optimization":[165],"known":[170],"criteria":[172],"performed":[174],"optimize":[176],"obtained":[178],"set":[180],"premise":[183],"parts":[184],"consequent":[187],"parts.":[188],"At":[189],"end,":[191],"comprehensive":[192],"comparisons":[193],"made":[195],"approaches":[198],"demonstrate":[200],"algorithm":[204],"superior":[206],"term":[208],"compact":[210],"structure,":[211],"convergence":[212],"speed,":[213],"memory":[214],"usage":[215],"efficiency.":[218]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}