{"id":"https://openalex.org/W2056714484","doi":"https://doi.org/10.1109/icsmc.2010.5641955","title":"An evolutionary algorithm for variable-sized ANN ensemble construction","display_name":"An evolutionary algorithm for variable-sized ANN ensemble construction","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W2056714484","doi":"https://doi.org/10.1109/icsmc.2010.5641955","mag":"2056714484"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2010.5641955","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2010.5641955","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Systems, Man and Cybernetics","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/A5034146966","display_name":"Lin\u2010Yu Tseng","orcid":"https://orcid.org/0000-0003-3704-3947"},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Lin-Yu Tseng","raw_affiliation_strings":["Institute of Networking and Multimedia, Department of Computer Science and Engineering, National Chung Hsing University, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Networking and Multimedia, Department of Computer Science and Engineering, National Chung Hsing University, Taichung, Taiwan","institution_ids":["https://openalex.org/I162838928"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013296064","display_name":"Wen\u2010Ching Chen","orcid":"https://orcid.org/0000-0002-5010-3361"},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]},{"id":"https://openalex.org/I204116968","display_name":"Hsiuping University of Science and Technology","ror":"https://ror.org/04szp2m52","country_code":"TW","type":"education","lineage":["https://openalex.org/I204116968"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-Ching Chen","raw_affiliation_strings":["Department of Computer Science and Engineering, National Chung Hsing University, Taichung, Taiwan","Department of Information Networking Technology, Hsiuping Institute of Technology, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Chung Hsing University, Taichung, Taiwan","institution_ids":["https://openalex.org/I162838928"]},{"raw_affiliation_string":"Department of Information Networking Technology, Hsiuping Institute of Technology, Taichung, Taiwan","institution_ids":["https://openalex.org/I204116968"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5034146966"],"corresponding_institution_ids":["https://openalex.org/I162838928"],"apc_list":null,"apc_paid":null,"fwci":0.4524,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72926373,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2381","last_page":"2386"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9973999857902527,"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":0.9825000166893005,"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":0.7225262522697449},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6993534564971924},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6146960258483887},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5530661344528198},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5361748933792114},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4899219870567322},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4756447970867157},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47319647669792175},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.46147748827934265},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.4611321985721588},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42412269115448},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.41621142625808716},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2019650638103485}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7225262522697449},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6993534564971924},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6146960258483887},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5530661344528198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5361748933792114},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4899219870567322},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4756447970867157},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47319647669792175},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.46147748827934265},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.4611321985721588},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42412269115448},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.41621142625808716},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2019650638103485},{"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/icsmc.2010.5641955","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2010.5641955","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Systems, Man and Cybernetics","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":20,"referenced_works":["https://openalex.org/W1967646346","https://openalex.org/W1980948177","https://openalex.org/W2000629020","https://openalex.org/W2032442397","https://openalex.org/W2052900991","https://openalex.org/W2061119986","https://openalex.org/W2101889314","https://openalex.org/W2109116383","https://openalex.org/W2110576630","https://openalex.org/W2124290836","https://openalex.org/W2135293965","https://openalex.org/W2143482492","https://openalex.org/W2145833756","https://openalex.org/W2162177192","https://openalex.org/W2167055186","https://openalex.org/W2171213522","https://openalex.org/W4230277342","https://openalex.org/W4232569293","https://openalex.org/W4249150173","https://openalex.org/W6685350346"],"related_works":["https://openalex.org/W2794896638","https://openalex.org/W2891633941","https://openalex.org/W4390905871","https://openalex.org/W3202800081","https://openalex.org/W1909207154","https://openalex.org/W3124390867","https://openalex.org/W3101614107","https://openalex.org/W1514365828","https://openalex.org/W4390971112","https://openalex.org/W3036530763"],"abstract_inverted_index":{"For":[0],"some":[1],"difficult":[2],"problems,":[3],"artificial":[4],"neural":[5,144,165],"network":[6,28,166],"(ANN)":[7],"ensemble":[8,19,81,113,125,167],"classifiers,":[9],"instead":[10],"of":[11,66,106,129,142],"a":[12,110,140],"single":[13],"ANN":[14,40,58,80,112],"classifier,":[15],"are":[16],"considered.":[17],"The":[18,127],"usually":[20],"has":[21],"better":[22],"generalization":[23],"performance":[24,65,128],"than":[25],"any":[26],"individual":[27],"for":[29,78],"classification":[30,176],"problems.":[31,152],"But,":[32],"it":[33,137],"is":[34,69,86,94,120,133],"not":[35],"easy":[36],"to":[37,55,96,102,122,138,146],"construct":[38],"the":[39,43,46,49,57,60,64,67,73,84,97,104,107,124,130,148,156,159,164,171],"ensemble.":[41,108],"In":[42],"previous":[44,157],"study,":[45],"authors":[47],"presented":[48],"systematic":[50],"trajectory":[51],"search":[52],"algorithm":[53,77,132],"(STSA)":[54],"train":[56,139],"and":[59],"experimental":[61,160],"results":[62,161],"revealed":[63,162],"STSA":[68],"good.":[70],"Based":[71],"on":[72,117],"STSA,":[74],"an":[75],"evolutionary":[76],"variable-sized":[79,111],"construction,":[82],"called":[83],"VSEC,":[85],"proposed":[87,121,131],"in":[88,100],"this":[89],"paper.":[90],"A":[91],"penalty":[92],"term":[93],"added":[95],"error":[98],"function":[99],"order":[101],"guarantee":[103],"diversity":[105],"Besides,":[109],"construction":[114],"method,":[115],"based":[116],"three":[118],"operations,":[119],"update":[123],"members.":[126],"evaluated":[134],"by":[135,170],"applying":[136],"class":[141],"feedforward":[143],"networks":[145],"solve":[147],"large":[149],"n-bit":[150],"parity":[151],"By":[153],"comparing":[154],"with":[155],"studies,":[158],"that":[163],"classifiers":[168],"trained":[169],"VSEC":[172],"have":[173],"very":[174],"good":[175],"ability.":[177]},"counts_by_year":[{"year":2014,"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"}