{"id":"https://openalex.org/W2177217132","doi":"https://doi.org/10.1109/fuzz-ieee.2015.7338101","title":"Levenberg-Marquardt training method for Type-2 fuzzy neural networks and its stability analysis","display_name":"Levenberg-Marquardt training method for Type-2 fuzzy neural networks and its stability analysis","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2177217132","doi":"https://doi.org/10.1109/fuzz-ieee.2015.7338101","mag":"2177217132"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2015.7338101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2015.7338101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5110287779","display_name":"Mojtaba Ahmadieh Khanesar","orcid":null},"institutions":[{"id":"https://openalex.org/I928334797","display_name":"Semnan University","ror":"https://ror.org/029gksw03","country_code":"IR","type":"education","lineage":["https://openalex.org/I928334797"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Mojtaba Ahmadieh Khanesar","raw_affiliation_strings":["Faculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran","institution_ids":["https://openalex.org/I928334797"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068099488","display_name":"Erdal Kayacan","orcid":"https://orcid.org/0000-0002-7143-8777"},"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":"Erdal Kayacan","raw_affiliation_strings":["School of Mechanical & Aerospace Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Mechanical & Aerospace Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110287779"],"corresponding_institution_ids":["https://openalex.org/I928334797"],"apc_list":null,"apc_paid":null,"fwci":2.1572,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.90246582,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9998000264167786,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9998000264167786,"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":0.9990000128746033,"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9352999925613403,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/levenberg\u2013marquardt-algorithm","display_name":"Levenberg\u2013Marquardt algorithm","score":0.8158393502235413},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.7688543796539307},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6595085859298706},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.5823516249656677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5453994274139404},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5106876492500305},{"id":"https://openalex.org/keywords/type","display_name":"Type (biology)","score":0.46369823813438416},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.4581323266029358},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.44563814997673035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4256271421909332},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3193504214286804},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.050503939390182495}],"concepts":[{"id":"https://openalex.org/C87578567","wikidata":"https://www.wikidata.org/wiki/Q1426494","display_name":"Levenberg\u2013Marquardt algorithm","level":3,"score":0.8158393502235413},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.7688543796539307},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6595085859298706},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.5823516249656677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5453994274139404},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5106876492500305},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.46369823813438416},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4581323266029358},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.44563814997673035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4256271421909332},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3193504214286804},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.050503939390182495},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2015.7338101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2015.7338101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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":23,"referenced_works":["https://openalex.org/W1963836489","https://openalex.org/W1968721534","https://openalex.org/W1975836730","https://openalex.org/W1982949621","https://openalex.org/W1992410138","https://openalex.org/W2018162007","https://openalex.org/W2018601745","https://openalex.org/W2020468367","https://openalex.org/W2031299410","https://openalex.org/W2036198831","https://openalex.org/W2054756861","https://openalex.org/W2067184171","https://openalex.org/W2073418811","https://openalex.org/W2090794980","https://openalex.org/W2094631910","https://openalex.org/W2116046819","https://openalex.org/W2116289551","https://openalex.org/W2138324492","https://openalex.org/W2141456738","https://openalex.org/W2157041604","https://openalex.org/W2598771954","https://openalex.org/W4245152641","https://openalex.org/W6654917164"],"related_works":["https://openalex.org/W1978671516","https://openalex.org/W2895947699","https://openalex.org/W2374738832","https://openalex.org/W3196668723","https://openalex.org/W2794551249","https://openalex.org/W3048650638","https://openalex.org/W3164758156","https://openalex.org/W2379583542","https://openalex.org/W4321133157","https://openalex.org/W3125078867"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"an":[3],"alternative":[4],"stability":[5,28,49],"analysis":[6,29,50],"for":[7,14],"the":[8,15,26,47],"Levenberg-Marquardt":[9],"(LM)":[10],"algorithm":[11],"is":[12,30,42],"proposed":[13,27],"training":[16],"of":[17,25],"Type-2":[18],"fuzzy":[19],"neural":[20],"networks":[21],"(T2FNNs).":[22],"The":[23],"benefit":[24],"that":[31],"it":[32,41],"does":[33],"not":[34],"require":[35],"any":[36],"eigenvalues":[37],"computations,":[38],"and":[39],"hence":[40],"simpler":[43],"when":[44],"compared":[45],"to":[46],"existing":[48],"studies":[51],"in":[52],"literature.":[53]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
