{"id":"https://openalex.org/W3091588104","doi":"https://doi.org/10.1109/tfuzz.2019.2930022","title":"Patch Learning","display_name":"Patch Learning","publication_year":2019,"publication_date":"2019-07-22","ids":{"openalex":"https://openalex.org/W3091588104","doi":"https://doi.org/10.1109/tfuzz.2019.2930022","mag":"3091588104"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2019.2930022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2019.2930022","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/A5008740867","display_name":"Dongrui Wu","orcid":"https://orcid.org/0000-0002-7153-9703"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongrui Wu","raw_affiliation_strings":["Key Laboratory of Image Processing and Intelligent Control, Ministry of Education, and the School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-7153-9703","affiliations":[{"raw_affiliation_string":"Key Laboratory of Image Processing and Intelligent Control, Ministry of Education, and the School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028699912","display_name":"Jerry M. Mendel","orcid":"https://orcid.org/0000-0001-6377-2452"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]},{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Jerry M. Mendel","raw_affiliation_strings":["College of Artificial Intelligence, Tianjin Normal University, Tianjin, China","Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, USA"],"raw_orcid":"https://orcid.org/0000-0001-6377-2452","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Tianjin Normal University, Tianjin, China","institution_ids":["https://openalex.org/I15062923"]},{"raw_affiliation_string":"Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4002,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.91587087,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"28","issue":"9","first_page":"1996","last_page":"2008"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","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/T10320","display_name":"Neural Networks and Applications","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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9983000159263611,"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":0.9945999979972839,"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":0.7320990562438965},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5498634576797485},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.529421865940094},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5131431221961975},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.47096994519233704},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.4643203616142273},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4553118944168091},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4421476423740387},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4309009313583374},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.41204696893692017},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3452436923980713},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2183557152748108}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7320990562438965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5498634576797485},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.529421865940094},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5131431221961975},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.47096994519233704},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.4643203616142273},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4553118944168091},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4421476423740387},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4309009313583374},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.41204696893692017},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3452436923980713},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2183557152748108},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2019.2930022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2019.2930022","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/G6846834443","display_name":null,"funder_award_id":"61873321","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1554663460","https://openalex.org/W1571836963","https://openalex.org/W1678356000","https://openalex.org/W1682770403","https://openalex.org/W1964357740","https://openalex.org/W1988790447","https://openalex.org/W1989702938","https://openalex.org/W1995945562","https://openalex.org/W2019207321","https://openalex.org/W2027402490","https://openalex.org/W2043792182","https://openalex.org/W2079325629","https://openalex.org/W2094631910","https://openalex.org/W2109816400","https://openalex.org/W2128521063","https://openalex.org/W2157881433","https://openalex.org/W2158899491","https://openalex.org/W2194775991","https://openalex.org/W2283007371","https://openalex.org/W2738226240","https://openalex.org/W2768525515","https://openalex.org/W2787894218","https://openalex.org/W2887660732","https://openalex.org/W2911964244","https://openalex.org/W2912934387","https://openalex.org/W2919115771","https://openalex.org/W2952230511","https://openalex.org/W2962755824","https://openalex.org/W2963595743","https://openalex.org/W2963727766","https://openalex.org/W3106889297","https://openalex.org/W4205687621","https://openalex.org/W4212883601","https://openalex.org/W4232478844","https://openalex.org/W4254931243","https://openalex.org/W4388297464","https://openalex.org/W6634328444","https://openalex.org/W6683738474"],"related_works":["https://openalex.org/W1919101720","https://openalex.org/W2004708907","https://openalex.org/W2377429601","https://openalex.org/W2386043911","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660","https://openalex.org/W4288388567","https://openalex.org/W3106595551","https://openalex.org/W4385335406"],"abstract_inverted_index":{"There":[0],"have":[1],"been":[2],"different":[3],"strategies":[4],"to":[5,28,79,133],"improve":[6],"the":[7,16,22,69,73,77,80,96,118,127,135,138,176,183],"performance":[8],"of":[9,21,53,194],"a":[10,41,85,111,190],"machine":[11,197],"learning":[12,27,46,81],"model,":[13,23,113],"e.g.,":[14],"increasing":[15],"depth,":[17],"width,":[18],"and/or":[19],"nonlinearity":[20],"and":[24,83,166,186],"using":[25,62,99,152],"ensemble":[26],"aggregate":[29],"multiple":[30],"base/weak":[31],"learners":[32],"in":[33,36,145,182,196],"parallel":[34],"or":[35],"series.":[37],"This":[38],"article":[39],"proposes":[40],"novel":[42],"strategy":[43],"called":[44],"patch":[45,87,129],"(PL)":[47],"for":[48,89],"this":[49],"problem.":[50],"It":[51],"consists":[52],"three":[54],"steps:":[55],"first,":[56],"train":[57,84],"an":[58],"initial":[59,70],"global":[60,71,97,139],"model":[61,72,88,98,130,140],"all":[63],"training":[64,100],"data;":[65],"second,":[66],"identify":[67],"from":[68],"patches":[74],"that":[75,102],"contribute":[76],"most":[78],"error,":[82],"(local)":[86],"each":[90],"such":[91],"patch;":[92],"and,":[93],"third,":[94],"update":[95],"data":[101],"do":[103],"not":[104,180],"fall":[105],"into":[106,121],"any":[107,122],"patch.":[108,123],"To":[109,173],"use":[110],"PL":[112,148,177],"we":[114],"first":[115],"determine":[116],"if":[117],"input":[119],"falls":[120],"If":[124],"yes,":[125],"then":[126],"corresponding":[128],"is":[131,141],"used":[132],"compute":[134],"output.":[136],"Otherwise,":[137],"used.":[142],"We":[143],"explain":[144],"detail":[146],"how":[147],"can":[149],"be":[150],"implemented":[151],"fuzzy":[153],"systems.":[154],"Five":[155],"regression":[156],"problems":[157],"on":[158],"one-dimensional":[159],"(1-D)/2-D/3-D":[160],"curve":[161],"fitting,":[162],"nonlinear":[163],"system":[164],"identification,":[165],"chaotic":[167],"time-series":[168],"prediction,":[169],"verified":[170],"its":[171],"effectiveness.":[172],"our":[174],"knowledge,":[175],"idea":[178],"has":[179],"appeared":[181],"literature":[184],"before,":[185],"it":[187],"opens":[188],"up":[189],"promising":[191],"new":[192],"line":[193],"research":[195],"learning.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2020-10-08T00:00:00"}