{"id":"https://openalex.org/W1915564872","doi":"https://doi.org/10.1109/ijcnn.2003.1224088","title":"Combining evolving neural network classifiers using bagging","display_name":"Combining evolving neural network classifiers using bagging","publication_year":2004,"publication_date":"2004-06-22","ids":{"openalex":"https://openalex.org/W1915564872","doi":"https://doi.org/10.1109/ijcnn.2003.1224088","mag":"1915564872"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2003.1224088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1224088","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","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/A5063986559","display_name":"Sunghwan Sohn","orcid":"https://orcid.org/0000-0001-8256-2602"},"institutions":[{"id":"https://openalex.org/I4210116219","display_name":"Engineering Systems (United States)","ror":"https://ror.org/02qg60849","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116219"]},{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sunghwan Sohn","raw_affiliation_strings":["Smart Engineering Systems Lab, Department of Engineering Management, University of Missouri, Rolla, Rolla, MO, USA","Dept. of Eng. Manage., Missouri Univ., Rolla, MO, USA"],"affiliations":[{"raw_affiliation_string":"Smart Engineering Systems Lab, Department of Engineering Management, University of Missouri, Rolla, Rolla, MO, USA","institution_ids":["https://openalex.org/I20382870","https://openalex.org/I4210116219"]},{"raw_affiliation_string":"Dept. of Eng. Manage., Missouri Univ., Rolla, MO, USA","institution_ids":["https://openalex.org/I20382870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005856894","display_name":"Ci\u0307han H. Da\u011fli","orcid":"https://orcid.org/0000-0003-4919-1699"},"institutions":[{"id":"https://openalex.org/I4210116219","display_name":"Engineering Systems (United States)","ror":"https://ror.org/02qg60849","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116219"]},{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C.H. Dagli","raw_affiliation_strings":["Smart Engineering Systems Lab, Department of Engineering Management, University of Missouri, Rolla, Rolla, MO, USA","Dept. of Eng. Manage., Missouri Univ., Rolla, MO, USA"],"affiliations":[{"raw_affiliation_string":"Smart Engineering Systems Lab, Department of Engineering Management, University of Missouri, Rolla, Rolla, MO, USA","institution_ids":["https://openalex.org/I20382870","https://openalex.org/I4210116219"]},{"raw_affiliation_string":"Dept. of Eng. Manage., Missouri Univ., Rolla, MO, USA","institution_ids":["https://openalex.org/I20382870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063986559"],"corresponding_institution_ids":["https://openalex.org/I20382870","https://openalex.org/I4210116219"],"apc_list":null,"apc_paid":null,"fwci":0.4497,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7357636,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"3218","last_page":"3222"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9995999932289124,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9991999864578247,"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":0.786219596862793},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7397958040237427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7217227220535278},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6908372044563293},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.680526852607727},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6544098258018494},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.6176623702049255},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.5273662209510803},{"id":"https://openalex.org/keywords/early-stopping","display_name":"Early stopping","score":0.4403766691684723},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.42131954431533813},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.41362911462783813},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12542679905891418}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.786219596862793},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7397958040237427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7217227220535278},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6908372044563293},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.680526852607727},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6544098258018494},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.6176623702049255},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.5273662209510803},{"id":"https://openalex.org/C5465570","wikidata":"https://www.wikidata.org/wiki/Q5326898","display_name":"Early stopping","level":3,"score":0.4403766691684723},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.42131954431533813},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.41362911462783813},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12542679905891418},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2003.1224088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1224088","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W101142848","https://openalex.org/W1497256448","https://openalex.org/W1553313034","https://openalex.org/W1653273292","https://openalex.org/W1935515061","https://openalex.org/W1975846642","https://openalex.org/W1980775466","https://openalex.org/W2093717447","https://openalex.org/W2097477220","https://openalex.org/W2100805904","https://openalex.org/W2102589739","https://openalex.org/W2112076978","https://openalex.org/W2129861716","https://openalex.org/W2134514463","https://openalex.org/W2135293965","https://openalex.org/W2135951444","https://openalex.org/W2158275940","https://openalex.org/W2161782846","https://openalex.org/W2221027897","https://openalex.org/W2912934387","https://openalex.org/W2914369697","https://openalex.org/W3004732066","https://openalex.org/W4212883601","https://openalex.org/W4240294902","https://openalex.org/W6604111539","https://openalex.org/W6629610141","https://openalex.org/W6633174061","https://openalex.org/W6676769703","https://openalex.org/W6679137102"],"related_works":["https://openalex.org/W2052515325","https://openalex.org/W2050948537","https://openalex.org/W2352041579","https://openalex.org/W1975697063","https://openalex.org/W1987440976","https://openalex.org/W2087784347","https://openalex.org/W202723009","https://openalex.org/W3173587717","https://openalex.org/W2144801536","https://openalex.org/W4312531262"],"abstract_inverted_index":{"The":[0],"performance":[1],"of":[2,49,63,102],"the":[3,19,35,46,64,80,96,100],"neural":[4,50,104],"network":[5,105],"classifier":[6],"significantly":[7],"depends":[8],"on":[9],"its":[10],"architecture":[11,21],"and":[12,24,30,84],"generalization.":[13,61,109],"It":[14],"is":[15,27,69],"usual":[16],"to":[17,45,107],"find":[18,34],"proper":[20],"by":[22,77,92],"trial":[23],"error.":[25],"This":[26],"time":[28],"consuming":[29],"may":[31],"not":[32],"always":[33],"optimal":[36],"network.":[37],"For":[38],"this":[39],"reason,":[40],"we":[41],"apply":[42],"genetic":[43],"algorithms":[44],"automatic":[47],"generation":[48],"networks.":[51],"Many":[52],"researchers":[53],"have":[54],"provided":[55],"that":[56],"combining":[57,67],"multiple":[58],"classifiers":[59,85,106],"improves":[60],"One":[62],"most":[65],"effective":[66],"methods":[68],"bagging.":[70],"In":[71],"bagging,":[72],"training":[73,82,101],"sets":[74,89],"are":[75,90],"selected":[76],"resampling":[78],"from":[79],"original":[81],"set":[83],"trained":[86],"with":[87],"these":[88],"combined":[91],"voting.":[93],"We":[94],"implement":[95],"bagging":[97],"technique":[98],"into":[99],"evolving":[103],"improve":[108]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}