{"id":"https://openalex.org/W4285307997","doi":"https://doi.org/10.1109/tfuzz.2022.3186181","title":"Reinforced Two-Stream Fuzzy Neural Networks Architecture Realized With the Aid of One-Dimensional/Two-Dimensional Data Features","display_name":"Reinforced Two-Stream Fuzzy Neural Networks Architecture Realized With the Aid of One-Dimensional/Two-Dimensional Data Features","publication_year":2022,"publication_date":"2022-07-04","ids":{"openalex":"https://openalex.org/W4285307997","doi":"https://doi.org/10.1109/tfuzz.2022.3186181"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2022.3186181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2022.3186181","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on 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/A5033254809","display_name":"Kun Zhou","orcid":"https://orcid.org/0000-0002-3858-2072"},"institutions":[{"id":"https://openalex.org/I16764540","display_name":"University of Suwon","ror":"https://ror.org/03ysk5e42","country_code":"KR","type":"education","lineage":["https://openalex.org/I16764540"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Kun Zhou","raw_affiliation_strings":["School of Electrical and Electronic Engineering, The University of Suwon, Hwaseong-si, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, The University of Suwon, Hwaseong-si, South Korea","institution_ids":["https://openalex.org/I16764540"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035932097","display_name":"Sung\u2010Kwun Oh","orcid":"https://orcid.org/0000-0001-6798-8955"},"institutions":[{"id":"https://openalex.org/I15823474","display_name":"Linyi University","ror":"https://ror.org/01knv0402","country_code":"CN","type":"education","lineage":["https://openalex.org/I15823474"]},{"id":"https://openalex.org/I16764540","display_name":"University of Suwon","ror":"https://ror.org/03ysk5e42","country_code":"KR","type":"education","lineage":["https://openalex.org/I16764540"]}],"countries":["CN","KR"],"is_corresponding":false,"raw_author_name":"Sung-Kwun Oh","raw_affiliation_strings":["School of Electrical and Electronic Engineering, The University of Suwon, Hwaseong-si, South Korea","Research Center for Big Data and Artificial Intelligence, Linyi University, Linyi, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, The University of Suwon, Hwaseong-si, South Korea","institution_ids":["https://openalex.org/I16764540"]},{"raw_affiliation_string":"Research Center for Big Data and Artificial Intelligence, Linyi University, Linyi, China","institution_ids":["https://openalex.org/I15823474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083193684","display_name":"Jianlong Qiu","orcid":"https://orcid.org/0000-0002-9886-3570"},"institutions":[{"id":"https://openalex.org/I15823474","display_name":"Linyi University","ror":"https://ror.org/01knv0402","country_code":"CN","type":"education","lineage":["https://openalex.org/I15823474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianlong Qiu","raw_affiliation_strings":["School of Automation and Electrical Engineering, Linyi University, Linyi, China"],"affiliations":[{"raw_affiliation_string":"School of Automation and Electrical Engineering, Linyi University, Linyi, China","institution_ids":["https://openalex.org/I15823474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003799782","display_name":"Witold Pedrycz","orcid":"https://orcid.org/0000-0002-9335-9930"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]},{"id":"https://openalex.org/I185163786","display_name":"King Abdulaziz University","ror":"https://ror.org/02ma4wv74","country_code":"SA","type":"education","lineage":["https://openalex.org/I185163786"]},{"id":"https://openalex.org/I66083562","display_name":"Systems Research Institute","ror":"https://ror.org/0111cp837","country_code":"PL","type":"facility","lineage":["https://openalex.org/I66083562","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I99542240","display_name":"Polish Academy of Sciences","ror":"https://ror.org/01dr6c206","country_code":"PL","type":"government","lineage":["https://openalex.org/I99542240"]}],"countries":["CA","PL","SA"],"is_corresponding":false,"raw_author_name":"Witold Pedrycz","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada","Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland","Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland","institution_ids":["https://openalex.org/I66083562","https://openalex.org/I99542240"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia","institution_ids":["https://openalex.org/I185163786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075875574","display_name":"Kisung Seo","orcid":"https://orcid.org/0000-0002-5256-0582"},"institutions":[{"id":"https://openalex.org/I55188197","display_name":"Seokyeong University","ror":"https://ror.org/04x0k0m51","country_code":"KR","type":"education","lineage":["https://openalex.org/I55188197"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kisung Seo","raw_affiliation_strings":["Department of Electronic Engineering, Seokyeong University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Seokyeong University, Seoul, South Korea","institution_ids":["https://openalex.org/I55188197"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5033254809"],"corresponding_institution_ids":["https://openalex.org/I16764540"],"apc_list":null,"apc_paid":null,"fwci":2.3449,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.89998455,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"31","issue":"3","first_page":"707","last_page":"721"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9993000030517578,"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/T12676","display_name":"Machine Learning and ELM","score":0.9993000030517578,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9973999857902527,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/computer-science","display_name":"Computer science","score":0.7168446779251099},{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.7026081681251526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6024003624916077},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5826044082641602},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.5002529621124268},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4784115254878998},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.464299738407135},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44580236077308655},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.42728540301322937}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7168446779251099},{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.7026081681251526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6024003624916077},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5826044082641602},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.5002529621124268},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4784115254878998},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.464299738407135},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44580236077308655},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.42728540301322937}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2022.3186181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2022.3186181","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3112940305","display_name":null,"funder_award_id":"NRF-2021R1F1A1056102","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G5004766963","display_name":null,"funder_award_id":"NRF-2021R1F1A1062090","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G7248913801","display_name":null,"funder_award_id":"61877033","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W592963477","https://openalex.org/W1498436455","https://openalex.org/W1541170979","https://openalex.org/W1932847118","https://openalex.org/W1964494592","https://openalex.org/W1965217418","https://openalex.org/W1975470076","https://openalex.org/W1989130143","https://openalex.org/W2019619214","https://openalex.org/W2055730212","https://openalex.org/W2064535070","https://openalex.org/W2075282432","https://openalex.org/W2078094465","https://openalex.org/W2084812512","https://openalex.org/W2107001311","https://openalex.org/W2112796928","https://openalex.org/W2113242816","https://openalex.org/W2115403315","https://openalex.org/W2129624644","https://openalex.org/W2135217348","https://openalex.org/W2146096861","https://openalex.org/W2151149163","https://openalex.org/W2155951042","https://openalex.org/W2156303437","https://openalex.org/W2158247472","https://openalex.org/W2163605009","https://openalex.org/W2164554122","https://openalex.org/W2165698076","https://openalex.org/W2166814474","https://openalex.org/W2177019876","https://openalex.org/W2520774990","https://openalex.org/W2586564970","https://openalex.org/W2765982206","https://openalex.org/W2767702821","https://openalex.org/W2776378542","https://openalex.org/W2899015155","https://openalex.org/W2904043173","https://openalex.org/W2911964244","https://openalex.org/W2914580252","https://openalex.org/W2941752771","https://openalex.org/W2945754504","https://openalex.org/W2949699261","https://openalex.org/W2962895364","https://openalex.org/W2964805495","https://openalex.org/W2966040026","https://openalex.org/W3000384844","https://openalex.org/W3021972511","https://openalex.org/W3044797745","https://openalex.org/W3087890894","https://openalex.org/W3101217327","https://openalex.org/W3121335749","https://openalex.org/W3154745533","https://openalex.org/W3160306726","https://openalex.org/W3213588331","https://openalex.org/W6679935232","https://openalex.org/W6682864246","https://openalex.org/W6684191040","https://openalex.org/W6688325169"],"related_works":["https://openalex.org/W2899027234","https://openalex.org/W3131922633","https://openalex.org/W4390929683","https://openalex.org/W3183901164","https://openalex.org/W3135818718","https://openalex.org/W4290188444","https://openalex.org/W3167935049","https://openalex.org/W3003905048","https://openalex.org/W2253429366","https://openalex.org/W3127975138"],"abstract_inverted_index":{"A":[0,126,250],"novel":[1],"structure":[2],"of":[3,14,26,36,40,70,88,109,140,147,176,191,219,233,246,264,271,285,310],"reinforced":[4],"two-stream":[5,207],"fuzzy":[6,15,42,195],"neural":[7,47,52],"networks":[8,39,48,53],"(TSFNNs)":[9],"realized":[10],"with":[11],"the":[12,56,62,67,75,82,86,92,104,107,120,138,160,165,174,200,204,210,230,244,247,268,282,308,311],"aid":[13],"logic":[16,196],"and":[17,29,50,72,78,95,163,178,209,236,266,295,298],"transfer":[18,127],"learning":[19,128,290],"method":[20,129,170],"is":[21,130,156,254],"presented.":[22],"This":[23,256],"architecture":[24,34,208],"consists":[25,35],"a":[27,30,115,123,217,275],"TSFNN":[28,33,57],"fusion":[31,105,211],"strategy.":[32,212],"two":[37,110],"combined":[38],"both":[41],"rules-based":[43],"radial":[44],"basis":[45],"function":[46],"(FRBFNN)":[49],"convolutional":[51],"(CNNs).":[54],"In":[55,103],"architecture,":[58],"one":[59],"stream":[60,80],"employs":[61],"deep":[63,289],"CNN":[64,141,179],"to":[65,84,97,122,132,142,158],"extract":[66],"spatial":[68,145],"information":[69,263],"images":[71],"effectively":[73,306],"learn":[74,96],"high-level":[76],"features":[77,146,273],"another":[79],"uses":[81],"FRBFNN":[83,177],"analyze":[85],"distribution":[87],"data":[89,135],"points":[90],"over":[91],"input":[93],"space":[94],"capture":[98,260],"complex":[99],"relationships":[100],"in":[101,229],"data.":[102,148],"strategy,":[106],"outputs":[108],"streams":[111],"are":[112],"concatenated":[113],"by":[114,194],"softmax":[116],"function,":[117],"which":[118],"normalizes":[119],"output":[121],"probability":[124],"distribution.":[125],"considered":[131],"reconstruct":[133],"new":[134],"representation":[136],"as":[137,181,221,223],"inputs":[139,265],"mine":[143],"potential":[144],"Moreover,":[149],"L":[150,299],"<sub":[151,300],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[152,301],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sub>":[153,302],"-norm":[154,303],"regularization":[155,304],"used":[157],"alleviate":[159],"possible":[161],"overfitting":[162],"enhance":[164],"generalization":[166],"ability.":[167],"The":[168],"proposed":[169,248],"not":[171],"only":[172],"inherits":[173],"advantages":[175],"such":[180],"global":[182],"feature":[183],"extraction":[184],"ability,":[185],"good":[186],"local":[187],"approximating":[188],"performance,":[189],"ability":[190],"handling":[192],"uncertainty":[193],"but":[197],"also":[198],"improves":[199],"classification":[201,293],"performance":[202,309],"under":[203],"synergy":[205],"between":[206],"Experimental":[213],"results":[214],"obtained":[215],"for":[216,241,291],"diversity":[218],"datasets":[220,226,240],"well":[222],"partial":[224],"discharge":[225],"be":[227],"using":[228],"real":[231],"life":[232],"fault":[234],"diagnosis":[235],"black":[237],"plastic":[238],"wastes":[239],"recycling":[242],"confirm":[243],"effectiveness":[245],"TSFNN.":[249],"comprehensive":[251],"comparative":[252],"analysis":[253],"covered.":[255],"design":[257],"can":[258,305],"simultaneously":[259],"different":[261],"level":[262],"easing":[267],"insufficient":[269],"problem":[270],"extracting":[272],"from":[274],"single":[276],"steam.":[277],"Especially,":[278],"we":[279],"show":[280],"that":[281],"synergistic":[283],"effect":[284],"FRBFNN,":[286],"CNN,":[287],"enabling":[288],"generic":[292],"tasks":[294],"multipoint":[296],"crossover,":[297],"improve":[307],"TSFNNs.":[312]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
