{"id":"https://openalex.org/W2168952469","doi":"https://doi.org/10.1109/icsmc.2009.5346802","title":"A hybrid MGA-BP algorithm for RBFNs self-generate","display_name":"A hybrid MGA-BP algorithm for RBFNs self-generate","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W2168952469","doi":"https://doi.org/10.1109/icsmc.2009.5346802","mag":"2168952469"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2009.5346802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2009.5346802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 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/A5020219356","display_name":"Shiwei Yu","orcid":"https://orcid.org/0000-0002-3927-0943"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shiwei Yu","raw_affiliation_strings":["School of Economic s and Management, China University of Geoscience, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Economic s and Management, China University of Geoscience, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108650501","display_name":"Kejun Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kejun Zhu","raw_affiliation_strings":["School of Economic s and Management, China University of Geoscience, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Economic s and Management, China University of Geoscience, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5020219356"],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15040962,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"4304","last_page":"4308"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9904000163078308,"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"}},{"id":"https://openalex.org/T14225","display_name":"Advanced Sensor and Control Systems","score":0.987500011920929,"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":0.6164281368255615},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5626606941223145},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.5371606349945068},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.5337290167808533},{"id":"https://openalex.org/keywords/hybrid-algorithm","display_name":"Hybrid algorithm (constraint satisfaction)","score":0.5263458490371704},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5033976435661316},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4996826648712158},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4924238622188568},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.45867428183555603},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.43824371695518494},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4262586236000061},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25405579805374146}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6164281368255615},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5626606941223145},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.5371606349945068},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.5337290167808533},{"id":"https://openalex.org/C62469222","wikidata":"https://www.wikidata.org/wiki/Q17092103","display_name":"Hybrid algorithm (constraint satisfaction)","level":5,"score":0.5263458490371704},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5033976435661316},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4996826648712158},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4924238622188568},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.45867428183555603},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.43824371695518494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4262586236000061},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25405579805374146},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C176783269","wikidata":"https://www.wikidata.org/wiki/Q5164378","display_name":"Constraint logic programming","level":4,"score":0.0},{"id":"https://openalex.org/C44616089","wikidata":"https://www.wikidata.org/wiki/Q30158686","display_name":"Constraint satisfaction","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2009.5346802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2009.5346802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 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":24,"referenced_works":["https://openalex.org/W94523489","https://openalex.org/W1995643764","https://openalex.org/W2002011878","https://openalex.org/W2003407374","https://openalex.org/W2019538576","https://openalex.org/W2020732226","https://openalex.org/W2065956719","https://openalex.org/W2080748905","https://openalex.org/W2081373832","https://openalex.org/W2096053111","https://openalex.org/W2110323558","https://openalex.org/W2113442785","https://openalex.org/W2122454631","https://openalex.org/W2124776405","https://openalex.org/W2129885988","https://openalex.org/W2138484437","https://openalex.org/W2145962639","https://openalex.org/W2155301953","https://openalex.org/W2155399784","https://openalex.org/W2161278885","https://openalex.org/W2162647716","https://openalex.org/W2171277043","https://openalex.org/W2904250082","https://openalex.org/W3023540311"],"related_works":["https://openalex.org/W4239286941","https://openalex.org/W2088845016","https://openalex.org/W589102260","https://openalex.org/W1966421350","https://openalex.org/W1868434454","https://openalex.org/W4366984740","https://openalex.org/W4366985237","https://openalex.org/W4367365565","https://openalex.org/W2185061628","https://openalex.org/W4377138696"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,28,45,69],"novel":[4],"hybrid":[5,29,46],"algorithm":[6,30,35,42,48],"to":[7,43,59,78],"determine":[8],"the":[9,32,38,60,85,97],"parameters":[10],"(number":[11],"of":[12,18],"neurons,":[13],"centers,":[14],"widths":[15],"and":[16,37,63,84],"weights)":[17],"radial":[19,52],"basis":[20,53],"function":[21,54],"neural":[22],"networks":[23,55],"automatically.":[24],"In":[25],"this":[26],"work,":[27],"combines":[31],"multi-encoding":[33],"genetic":[34],"(MGA)":[36],"back":[39],"propagation":[40],"(BP)":[41],"form":[44],"learning":[47],"(MGA-BP)":[49],"for":[50],"training":[51],"(RBFNs),":[56],"which":[57],"adapts":[58],"network":[61],"structure":[62],"updates":[64],"its":[65],"weights":[66],"by":[67],"choosing":[68],"special":[70],"fitness":[71],"function.":[72],"The":[73],"proposed":[74],"method":[75],"is":[76],"used":[77],"deal":[79],"with":[80,90],"non-linear":[81],"identification":[82],"problems,":[83],"results":[86],"obtained":[87],"are":[88],"compared":[89],"existent":[91],"bibliography,":[92],"showing":[93],"an":[94],"improvement":[95],"over":[96],"published":[98],"methods.":[99]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}