{"id":"https://openalex.org/W1730644401","doi":"https://doi.org/10.1109/ijcnn.2005.1556002","title":"Factors of overtraining with fuzzy ARTMAP neural networks","display_name":"Factors of overtraining with fuzzy ARTMAP neural networks","publication_year":2006,"publication_date":"2006-01-05","ids":{"openalex":"https://openalex.org/W1730644401","doi":"https://doi.org/10.1109/ijcnn.2005.1556002","mag":"1730644401"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2005.1556002","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1556002","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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/A5028561637","display_name":"Philippe Henniges","orcid":null},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"P. Henniges","raw_affiliation_strings":["D\u00e9partement de g\u00e9nie de la Production Automatis\u00e9e, Laboratoire d'imagerie, de vision et d'intelligence artificielle, \u00c9cole de technologie sup\u00e9rieure, Montreal, QUE, Canada","Departement de Genie de la Production Automatisee, Ecole de Technologie Superieure, Montreal, Que., Canada"],"affiliations":[{"raw_affiliation_string":"D\u00e9partement de g\u00e9nie de la Production Automatis\u00e9e, Laboratoire d'imagerie, de vision et d'intelligence artificielle, \u00c9cole de technologie sup\u00e9rieure, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I9736820"]},{"raw_affiliation_string":"Departement de Genie de la Production Automatisee, Ecole de Technologie Superieure, Montreal, Que., Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006937759","display_name":"\u00c9ric Granger","orcid":"https://orcid.org/0000-0001-6116-7945"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"E. Granger","raw_affiliation_strings":["D\u00e9partement de g\u00e9nie de la Production Automatis\u00e9e, Laboratoire d'imagerie, de vision et d'intelligence artificielle, \u00c9cole de technologie sup\u00e9rieure, Montreal, QUE, Canada","Departement de Genie de la Production Automatisee, Ecole de Technologie Superieure, Montreal, Que., Canada"],"affiliations":[{"raw_affiliation_string":"D\u00e9partement de g\u00e9nie de la Production Automatis\u00e9e, Laboratoire d'imagerie, de vision et d'intelligence artificielle, \u00c9cole de technologie sup\u00e9rieure, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I9736820"]},{"raw_affiliation_string":"Departement de Genie de la Production Automatisee, Ecole de Technologie Superieure, Montreal, Que., Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026340083","display_name":"Robert Sabourin","orcid":"https://orcid.org/0000-0002-9098-1011"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"R. Sabourin","raw_affiliation_strings":["D\u00e9partement de g\u00e9nie de la Production Automatis\u00e9e, Laboratoire d'imagerie, de vision et d'intelligence artificielle, \u00c9cole de technologie sup\u00e9rieure, Montreal, QUE, Canada","Departement de Genie de la Production Automatisee, Ecole de Technologie Superieure, Montreal, Que., Canada"],"affiliations":[{"raw_affiliation_string":"D\u00e9partement de g\u00e9nie de la Production Automatis\u00e9e, Laboratoire d'imagerie, de vision et d'intelligence artificielle, \u00c9cole de technologie sup\u00e9rieure, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I9736820"]},{"raw_affiliation_string":"Departement de Genie de la Production Automatisee, Ecole de Technologie Superieure, Montreal, Que., Canada","institution_ids":["https://openalex.org/I9736820"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028561637"],"corresponding_institution_ids":["https://openalex.org/I9736820"],"apc_list":null,"apc_paid":null,"fwci":3.2633,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.92571829,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2","issue":null,"first_page":"1075","last_page":"1080"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994000196456909,"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/T10057","display_name":"Face and Expression Recognition","score":0.991100013256073,"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/overtraining","display_name":"Overtraining","score":0.9865179061889648},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7211015224456787},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6919681429862976},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6440989971160889},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6302245259284973},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5832293033599854},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.573077917098999},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5635566711425781},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.5591499209403992},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5591022372245789},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5547859072685242},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5366920828819275},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.44829583168029785},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.42800527811050415},{"id":"https://openalex.org/keywords/athletes","display_name":"Athletes","score":0.05912920832633972}],"concepts":[{"id":"https://openalex.org/C2778534509","wikidata":"https://www.wikidata.org/wiki/Q334310","display_name":"Overtraining","level":3,"score":0.9865179061889648},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7211015224456787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6919681429862976},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6440989971160889},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6302245259284973},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5832293033599854},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.573077917098999},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5635566711425781},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.5591499209403992},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5591022372245789},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5547859072685242},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5366920828819275},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.44829583168029785},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.42800527811050415},{"id":"https://openalex.org/C2781054738","wikidata":"https://www.wikidata.org/wiki/Q4813730","display_name":"Athletes","level":2,"score":0.05912920832633972},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C1862650","wikidata":"https://www.wikidata.org/wiki/Q186005","display_name":"Physical therapy","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/ijcnn.2005.1556002","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1556002","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1485231155","https://openalex.org/W1499692743","https://openalex.org/W1982610692","https://openalex.org/W2000868189","https://openalex.org/W2012611887","https://openalex.org/W2015857587","https://openalex.org/W2038771964","https://openalex.org/W2063261057","https://openalex.org/W2083909184","https://openalex.org/W2112081648","https://openalex.org/W2144120083","https://openalex.org/W2144219012","https://openalex.org/W2158767981","https://openalex.org/W2166280719","https://openalex.org/W2167280925","https://openalex.org/W2170793091","https://openalex.org/W2295052880","https://openalex.org/W2594140512","https://openalex.org/W2730424246","https://openalex.org/W2978311037","https://openalex.org/W4244939598","https://openalex.org/W6741174868"],"related_works":["https://openalex.org/W2130825577","https://openalex.org/W2093836487","https://openalex.org/W2065110043","https://openalex.org/W2786391746","https://openalex.org/W3132346564","https://openalex.org/W2991483587","https://openalex.org/W2914559142","https://openalex.org/W4226059458","https://openalex.org/W4381430104","https://openalex.org/W2995102745"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"the":[3,8,64,73,114,119],"impact":[4],"of":[5,10,22,28,75,88,121],"overtraining":[6,76,108],"on":[7,113],"performance":[9,105],"fuzzy":[11,40,103],"ARTMAP":[12,41,104],"neural":[13],"networks":[14,42],"is":[15,97,109],"assessed":[16],"for":[17,44,124],"pattern":[18,59,125],"recognition":[19,60,126],"problems":[20,127],"consisting":[21,27],"overlapping":[23,129],"class":[24,130],"distributions,":[25],"and":[26,49,67,93,118],"complex":[29],"decision":[30],"boundaries":[31],"with":[32,39,128],"no":[33],"overlap.":[34],"Computer":[35],"simulations":[36],"are":[37],"performed":[38],"trained":[43],"one":[45],"epoch,":[46],"through":[47],"cross-validation,":[48],"until":[50],"network":[51],"convergence,":[52],"using":[53],"several":[54],"data":[55,82,91],"sets":[56],"representing":[57],"these":[58,71],"problems.":[61],"By":[62],"comparing":[63],"generalisation":[65],"error":[66],"resources":[68],"required":[69],"by":[70],"networks,":[72],"extent":[74],"due":[77,106],"to":[78,107,111],"factors":[79],"such":[80],"as":[81],"set":[83,95,116],"structure,":[84],"training":[85,89,94,115,122],"strategy,":[86],"number":[87,120],"epochs,":[90],"normalisation,":[92],"size,":[96],"demonstrated.":[98],"A":[99],"significant":[100],"degradation":[101],"in":[102],"shown":[110],"depend":[112],"size":[117],"epochs":[123],"distributions.":[131]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
