{"id":"https://openalex.org/W2119815128","doi":"https://doi.org/10.1109/fuzzy.2011.6007485","title":"Train Fuzzy Cognitive Maps by gradient residual algorithm","display_name":"Train Fuzzy Cognitive Maps by gradient residual algorithm","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2119815128","doi":"https://doi.org/10.1109/fuzzy.2011.6007485","mag":"2119815128"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2011.6007485","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2011.6007485","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011)","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/A5062379464","display_name":"Huiliang Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Huiliang Zhang","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University, Singapore","School of Computer Engineering, Nanyang Technological University,,Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University,,Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101789458","display_name":"Zhiqi Shen","orcid":"https://orcid.org/0000-0001-7626-7295"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zhiqi Shen","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","School of Electrical & Electronic Engineering , Nanyang Technological University , Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Electrical & Electronic Engineering , Nanyang Technological University , Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100382077","display_name":"Chunyan Miao","orcid":"https://orcid.org/0000-0002-0300-3448"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chunyan Miao","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University, Singapore","School of Computer Engineering, Nanyang Technological University,,Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University,,Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062379464"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.12462607,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1815","last_page":"1821"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12805","display_name":"Cognitive Science and Mapping","score":0.9994000196456909,"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/T12805","display_name":"Cognitive Science and Mapping","score":0.9994000196456909,"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/T13062","display_name":"Cognitive Computing and Networks","score":0.984000027179718,"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/T10320","display_name":"Neural Networks and Applications","score":0.9660999774932861,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.6474946141242981},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6442386507987976},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6248831748962402},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.5514746308326721},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5343958735466003},{"id":"https://openalex.org/keywords/fuzzy-cognitive-map","display_name":"Fuzzy cognitive map","score":0.5197243690490723},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5087206959724426},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.40746626257896423},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.33709272742271423},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.336597204208374},{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"Adaptive neuro fuzzy inference system","score":0.24344900250434875},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.22023728489875793}],"concepts":[{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.6474946141242981},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6442386507987976},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6248831748962402},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5514746308326721},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5343958735466003},{"id":"https://openalex.org/C5041914","wikidata":"https://www.wikidata.org/wiki/Q5511107","display_name":"Fuzzy cognitive map","level":5,"score":0.5197243690490723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5087206959724426},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.40746626257896423},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.33709272742271423},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.336597204208374},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.24344900250434875},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.22023728489875793}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2011.6007485","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2011.6007485","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321038","display_name":"Fonds National de la Recherche Luxembourg","ror":"https://ror.org/039z13y21"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1487127700","https://openalex.org/W1490488263","https://openalex.org/W1530730921","https://openalex.org/W1538702852","https://openalex.org/W1555195839","https://openalex.org/W1603277681","https://openalex.org/W1965590032","https://openalex.org/W1975424366","https://openalex.org/W1989555277","https://openalex.org/W2028441993","https://openalex.org/W2043588753","https://openalex.org/W2044377792","https://openalex.org/W2078771578","https://openalex.org/W2112027492","https://openalex.org/W2139133559","https://openalex.org/W2143142281","https://openalex.org/W2148885430","https://openalex.org/W2154829377","https://openalex.org/W2157890643","https://openalex.org/W2159050382","https://openalex.org/W2166719817","https://openalex.org/W4240172095","https://openalex.org/W6683330955"],"related_works":["https://openalex.org/W1667647204","https://openalex.org/W2404647514","https://openalex.org/W4247536566","https://openalex.org/W2018477250","https://openalex.org/W3119814709","https://openalex.org/W4241418540","https://openalex.org/W1508895727","https://openalex.org/W2725786787","https://openalex.org/W4283160672","https://openalex.org/W1875930651"],"abstract_inverted_index":{"Fuzzy":[0],"Cognitive":[1],"Maps":[2],"(FCM)":[3],"is":[4,18,62,95,172],"a":[5,15,19,68,145,167,200],"popular":[6],"technique":[7],"for":[8,14,203],"describing":[9],"dynamic":[10,16],"systems.":[11],"A":[12],"FCM":[13,49,69,204],"system":[17],"signed":[20],"graph":[21],"consisted":[22],"of":[23,47,54,59,67,88,110,153],"relevant":[24],"concepts":[25,31],"and":[26,86,206],"causal":[27],"relationships/weights":[28],"between":[29],"the":[30,33,42,45,48,55,60,65,72,79,83,92,105,111,151,156,159,188,195],"in":[32,41,78,176],"system.":[34,56,70,112],"With":[35],"suitable":[36],"weights":[37,61,73,101,152,160,190],"defined":[38],"by":[39,76,163,194],"experts":[40,77,89],"related":[43,80],"areas,":[44],"inference":[46],"can":[50,191],"provide":[51],"meaningful":[52],"modeling":[53],"Thus":[57],"correctness":[58],"crucial":[63],"to":[64,99,104,119,129,149],"success":[66],"Normally":[71],"are":[74,161],"set":[75],"areas.":[81],"Considering":[82],"possible":[84],"inefficiency":[85],"subjectivity":[87],"when":[90],"judging":[91],"weights,":[93],"it":[94],"an":[96,173],"appealing":[97],"idea":[98],"generate":[100,130],"automatically":[102],"according":[103],"samples":[106],"obtained":[107],"through":[108],"observation":[109],"Some":[113],"training":[114,186],"algorithms":[115],"were":[116],"proposed.":[117],"However,":[118],"our":[120],"best":[121],"knowledge,":[122],"few":[123],"learning":[124,147],"algorithm":[125,148,198],"has":[126],"been":[127],"reported":[128],"weight":[131],"matrix":[132],"based":[133],"on":[134,166],"sample":[135],"sequences":[136],"with":[137],"continuous":[138],"values.":[139],"In":[140,155],"this":[141],"paper,":[142],"we":[143],"introduce":[144],"new":[146,201],"train":[150],"FCM.":[154],"proposed":[157],"algorithm,":[158],"updated":[162],"gradient":[164],"descent":[165],"squared":[168],"Bellman":[169],"residual,":[170],"which":[171],"accepted":[174],"method":[175],"machine":[177],"learning.":[178],"The":[179,197],"experiment":[180],"results":[181],"show":[182],"that":[183],"given":[184],"sufficient":[185],"samples,":[187],"correct":[189],"be":[192],"approximated":[193],"algorithm.":[196],"proposes":[199],"way":[202],"research":[205],"applications.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2015,"cited_by_count":4}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}