{"id":"https://openalex.org/W2134011945","doi":"https://doi.org/10.1109/grc.2006.1635817","title":"Training radial basis function networks with differential evolution","display_name":"Training radial basis function networks with differential evolution","publication_year":2006,"publication_date":"2006-06-08","ids":{"openalex":"https://openalex.org/W2134011945","doi":"https://doi.org/10.1109/grc.2006.1635817","mag":"2134011945"},"language":"en","primary_location":{"id":"doi:10.1109/grc.2006.1635817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2006.1635817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Granular Computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5009065607","display_name":"Bing Yu","orcid":"https://orcid.org/0009-0004-7297-9307"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Yu","raw_affiliation_strings":["Department of Mathematics, Xi''an University of Engineering Science and Technology, Xi'an, China","[Department of Mathematics, Xi''an University of Engineering Science and Technology, Xi'an, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Xi''an University of Engineering Science and Technology, Xi'an, China","institution_ids":["https://openalex.org/I110440473"]},{"raw_affiliation_string":"[Department of Mathematics, Xi''an University of Engineering Science and Technology, Xi'an, China]","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100635568","display_name":"Xingshi He","orcid":"https://orcid.org/0009-0006-9180-4996"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingshi He","raw_affiliation_strings":["Department of Mathematics, Xi''an University of Engineering Science and Technology, Xi'an, China","[Department of Mathematics, Xi''an University of Engineering Science and Technology, Xi'an, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Xi''an University of Engineering Science and Technology, Xi'an, China","institution_ids":["https://openalex.org/I110440473"]},{"raw_affiliation_string":"[Department of Mathematics, Xi''an University of Engineering Science and Technology, Xi'an, China]","institution_ids":["https://openalex.org/I110440473"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I110440473"],"apc_list":null,"apc_paid":null,"fwci":1.4656,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.82452926,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"369","last_page":"372"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9983999729156494,"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":0.9983999729156494,"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":0.9966999888420105,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7146912217140198},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.6407076120376587},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.585869550704956},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5665872097015381},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.55308997631073},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.5285167694091797},{"id":"https://openalex.org/keywords/radial-basis-function-network","display_name":"Radial basis function network","score":0.48851025104522705},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.4822981357574463},{"id":"https://openalex.org/keywords/toolbox","display_name":"Toolbox","score":0.44968149065971375},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.43374815583229065},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.41847991943359375},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36214911937713623},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3401923179626465},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1711512804031372}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7146912217140198},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.6407076120376587},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.585869550704956},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5665872097015381},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.55308997631073},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.5285167694091797},{"id":"https://openalex.org/C132917294","wikidata":"https://www.wikidata.org/wiki/Q2679684","display_name":"Radial basis function network","level":4,"score":0.48851025104522705},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.4822981357574463},{"id":"https://openalex.org/C2777655017","wikidata":"https://www.wikidata.org/wiki/Q1501161","display_name":"Toolbox","level":2,"score":0.44968149065971375},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.43374815583229065},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.41847991943359375},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36214911937713623},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3401923179626465},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1711512804031372},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/grc.2006.1635817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2006.1635817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Granular Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.187.7578","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.187.7578","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.waset.org/journals/waset/v11/v11-72.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.308.5040","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.308.5040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.waset.org/journals/waset/v11/v11-156.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W94523489","https://openalex.org/W1524363999","https://openalex.org/W1595159159","https://openalex.org/W1607535733","https://openalex.org/W1727062454","https://openalex.org/W1998674867","https://openalex.org/W2084812512","https://openalex.org/W2086002125","https://openalex.org/W2114515835","https://openalex.org/W2114738079","https://openalex.org/W2124290836","https://openalex.org/W2171277043","https://openalex.org/W3137715965"],"related_works":["https://openalex.org/W4230534566","https://openalex.org/W1992876914","https://openalex.org/W2184586959","https://openalex.org/W2162304341","https://openalex.org/W162769146","https://openalex.org/W2105180757","https://openalex.org/W1567195887","https://openalex.org/W157952102","https://openalex.org/W2471040861","https://openalex.org/W2355050426"],"abstract_inverted_index":{"Abstract\ufffdIn":[0],"this":[1],"paper,":[2],"Differential":[3],"Evolution":[4],"(DE)":[5],"algorithm,":[6,11],"a":[7,49],"new":[8],"promising":[9],"evolutionary":[10],"is":[12],"proposed":[13],"to":[14,22,40],"train":[15],"Radial":[16],"Basis":[17],"Function":[18],"(RBF)":[19],"network":[20,26,57],"related":[21],"automatic":[23],"configuration":[24],"of":[25,44],"architecture.":[27],"Classification":[28],"tasks":[29],"on":[30],"data":[31],"sets:":[32],"Iris,":[33],"Wine,":[34],"New-thyroid,":[35],"and":[36],"Glass":[37],"are":[38],"conducted":[39],"measure":[41],"the":[42],"performance":[43],"neural":[45,56,78],"networks.":[46,66],"Compared":[47],"with":[48],"standard":[50],"RBF":[51,65],"training":[52],"algorithm":[53],"in":[54],"Matlab":[55],"toolbox,":[58],"DE":[59],"achieves":[60],"more":[61],"rational":[62],"architecture":[63],"for":[64],"The":[67],"resulting":[68],"networks":[69],"hence":[70],"obtain":[71],"strong":[72],"generalization":[73],"abilities.":[74],"R":[75],"Keywords\ufffddifferential":[76],"evolution,":[77],"network,":[79],"Rbf":[80],"function":[81]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
