{"id":"https://openalex.org/W2752358127","doi":"https://doi.org/10.1109/ifsa-scis.2017.8023307","title":"Incremental learning for SIRMs fuzzy systems by Adam method","display_name":"Incremental learning for SIRMs fuzzy systems by Adam method","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2752358127","doi":"https://doi.org/10.1109/ifsa-scis.2017.8023307","mag":"2752358127"},"language":"en","primary_location":{"id":"doi:10.1109/ifsa-scis.2017.8023307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ifsa-scis.2017.8023307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS)","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/A5040091971","display_name":"Shu Matsumura","orcid":null},"institutions":[{"id":"https://openalex.org/I15807432","display_name":"Osaka Prefecture University","ror":"https://ror.org/02cf1je33","country_code":"JP","type":"education","lineage":["https://openalex.org/I15807432"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shu Matsumura","raw_affiliation_strings":["Department of Sustainable System Science, Osaka Prefecture University, Sakai, Osaka"],"affiliations":[{"raw_affiliation_string":"Department of Sustainable System Science, Osaka Prefecture University, Sakai, Osaka","institution_ids":["https://openalex.org/I15807432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036331063","display_name":"Tomoharu Nakashima","orcid":"https://orcid.org/0000-0002-1443-0816"},"institutions":[{"id":"https://openalex.org/I15807432","display_name":"Osaka Prefecture University","ror":"https://ror.org/02cf1je33","country_code":"JP","type":"education","lineage":["https://openalex.org/I15807432"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoharu Nakashima","raw_affiliation_strings":["Department of Sustainable System Science, Osaka Prefecture University, Sakai, Osaka"],"affiliations":[{"raw_affiliation_string":"Department of Sustainable System Science, Osaka Prefecture University, Sakai, Osaka","institution_ids":["https://openalex.org/I15807432"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5040091971"],"corresponding_institution_ids":["https://openalex.org/I15807432"],"apc_list":null,"apc_paid":null,"fwci":0.5851,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.75834144,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9883000254631042,"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":0.9883000254631042,"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":0.9879999756813049,"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"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9868000149726868,"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/computer-science","display_name":"Computer science","score":0.6408367156982422},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5383296012878418},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.49265700578689575},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.42429155111312866}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6408367156982422},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5383296012878418},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.49265700578689575},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.42429155111312866}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ifsa-scis.2017.8023307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ifsa-scis.2017.8023307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS)","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":8,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W1522301498","https://openalex.org/W2146502635","https://openalex.org/W2322432043","https://openalex.org/W2964121744","https://openalex.org/W6631190155","https://openalex.org/W6681435938","https://openalex.org/W6700444536"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W135622916"],"abstract_inverted_index":{"This":[0,31],"paper":[1,32],"proposes":[2],"an":[3],"incremental":[4,14],"approach":[5],"for":[6],"training":[7,18,29,55],"SIRMs":[8,73],"fuzzy":[9,74],"systems.":[10],"In":[11],"the":[12,24,28,36,41,50,54,84,87,91],"domain":[13],"learning,":[15],"a":[16],"single":[17],"example":[19],"is":[20],"used":[21],"to":[22,34,63],"modify":[23],"model":[25,57],"parameters":[26],"during":[27],"phase.":[30],"suggests":[33],"use":[35],"Adam":[37,78],"method,":[38],"which":[39],"has":[40],"advantage":[42,85],"of":[43,56,72,86],"obtaining":[44],"stable":[45],"results":[46,82],"by":[47,77],"automatically":[48],"adapting":[49],"learning":[51],"rates":[52],"in":[53],"parameters.":[58],"Computational":[59],"experiments":[60],"are":[61],"conducted":[62],"investigate":[64],"classification":[65],"performance":[66,71],"as":[67,69],"well":[68],"modeling":[70],"systems":[75],"trained":[76],"method.":[79],"The":[80],"experimental":[81],"show":[83],"proposed":[88],"method":[89],"over":[90],"common":[92],"stochastic":[93],"gradient":[94],"descent":[95],"algorithm.":[96]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}