{"id":"https://openalex.org/W2096423794","doi":"https://doi.org/10.1109/sis.2011.5952561","title":"Lambda-gamma learning with feedforward neural networks using particle swarm optimization","display_name":"Lambda-gamma learning with feedforward neural networks using particle swarm optimization","publication_year":2011,"publication_date":"2011-04-01","ids":{"openalex":"https://openalex.org/W2096423794","doi":"https://doi.org/10.1109/sis.2011.5952561","mag":"2096423794"},"language":"en","primary_location":{"id":"doi:10.1109/sis.2011.5952561","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sis.2011.5952561","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Symposium on Swarm Intelligence","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/A5062585642","display_name":"Andrich B. van Wyk","orcid":null},"institutions":[{"id":"https://openalex.org/I69552723","display_name":"University of Pretoria","ror":"https://ror.org/00g0p6g84","country_code":"ZA","type":"education","lineage":["https://openalex.org/I69552723"]}],"countries":["ZA"],"is_corresponding":true,"raw_author_name":"Andrich B. van Wyk","raw_affiliation_strings":["Department of Computer Science, University of Pretoria, Pretoria, South Africa","Department of Computer Science, University of Pretoria, Pretoria 0002, South Africa"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Pretoria, Pretoria, South Africa","institution_ids":["https://openalex.org/I69552723"]},{"raw_affiliation_string":"Department of Computer Science, University of Pretoria, Pretoria 0002, South Africa","institution_ids":["https://openalex.org/I69552723"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039197997","display_name":"Andries P. Engelbrecht","orcid":"https://orcid.org/0000-0002-0242-3539"},"institutions":[{"id":"https://openalex.org/I69552723","display_name":"University of Pretoria","ror":"https://ror.org/00g0p6g84","country_code":"ZA","type":"education","lineage":["https://openalex.org/I69552723"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Andries P. Engelbrecht","raw_affiliation_strings":["Department of Computer Science, University of Pretoria, Pretoria, South Africa","Department of Computer Science, University of Pretoria, Pretoria 0002, South Africa"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Pretoria, Pretoria, South Africa","institution_ids":["https://openalex.org/I69552723"]},{"raw_affiliation_string":"Department of Computer Science, University of Pretoria, Pretoria 0002, South Africa","institution_ids":["https://openalex.org/I69552723"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5062585642"],"corresponding_institution_ids":["https://openalex.org/I69552723"],"apc_list":null,"apc_paid":null,"fwci":0.4276,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72911726,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9984999895095825,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9984999895095825,"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/T10320","display_name":"Neural Networks and Applications","score":0.9957000017166138,"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/T12676","display_name":"Machine Learning and ELM","score":0.9907000064849854,"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/overfitting","display_name":"Overfitting","score":0.9075890183448792},{"id":"https://openalex.org/keywords/activation-function","display_name":"Activation function","score":0.7464306354522705},{"id":"https://openalex.org/keywords/sigmoid-function","display_name":"Sigmoid function","score":0.7174690961837769},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6653873920440674},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.6534420251846313},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5882965326309204},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.5848904848098755},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5428547859191895},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5278477668762207},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47272008657455444},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.47225847840309143},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.467698335647583},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.465945839881897},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39090582728385925},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34646034240722656},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3364643454551697},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08077958226203918}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.9075890183448792},{"id":"https://openalex.org/C38365724","wikidata":"https://www.wikidata.org/wiki/Q4677469","display_name":"Activation function","level":3,"score":0.7464306354522705},{"id":"https://openalex.org/C81388566","wikidata":"https://www.wikidata.org/wiki/Q526668","display_name":"Sigmoid function","level":3,"score":0.7174690961837769},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6653873920440674},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.6534420251846313},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5882965326309204},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.5848904848098755},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5428547859191895},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5278477668762207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47272008657455444},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.47225847840309143},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.467698335647583},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.465945839881897},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39090582728385925},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34646034240722656},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3364643454551697},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08077958226203918},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sis.2011.5952561","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sis.2011.5952561","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Symposium on Swarm Intelligence","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":23,"referenced_works":["https://openalex.org/W1502205195","https://openalex.org/W1580876177","https://openalex.org/W1596568617","https://openalex.org/W1875348914","https://openalex.org/W1966447062","https://openalex.org/W1974719097","https://openalex.org/W1999205703","https://openalex.org/W2027996967","https://openalex.org/W2052387497","https://openalex.org/W2099714748","https://openalex.org/W2109364787","https://openalex.org/W2110576630","https://openalex.org/W2114865067","https://openalex.org/W2117595234","https://openalex.org/W2135646341","https://openalex.org/W2154744236","https://openalex.org/W2160863970","https://openalex.org/W2162012556","https://openalex.org/W2165299997","https://openalex.org/W2798741797","https://openalex.org/W2914484425","https://openalex.org/W3120740533","https://openalex.org/W6759638512"],"related_works":["https://openalex.org/W2032258609","https://openalex.org/W3024979424","https://openalex.org/W4283785902","https://openalex.org/W3032499992","https://openalex.org/W2041004593","https://openalex.org/W3134817226","https://openalex.org/W2895192346","https://openalex.org/W3110577345","https://openalex.org/W3136579697","https://openalex.org/W2086501033"],"abstract_inverted_index":{"The":[0,61,87,128],"sigmoid":[1,84],"function":[2,9,43,56,137],"is":[3,22,66,76,90,191],"a":[4],"widely":[5],"used,":[6],"bounded":[7,19],"activation":[8,20,42,85,136,155],"for":[10],"feedforward":[11],"neural":[12],"networks":[13],"(FFNNs).":[14],"A":[15],"problem":[16],"with":[17,113,196],"using":[18],"functions":[21,156],"that":[23,81],"it":[24],"necessitates":[25],"scaling":[26],"of":[27,37,54,63,78,125,133,153,161,176],"the":[28,32,38,41,50,55,58,70,94,142,149,151,158,162,174,177,182,186],"data":[29,108,118,194],"to":[30,67,166,171],"suit":[31],"fixed":[33],"domain":[34],"and":[35,52,105,115,139,184],"range":[36,53,180],"function.":[39],"Alternatively":[40],"itself":[44],"can":[45],"be":[46],"adapted":[47],"by":[48],"learning":[49,99],"gradient":[51,95],"alongside":[57],"FFNN":[59],"weights.":[60],"purpose":[62],"this":[64],"paper":[65],"investigate":[68],"whether":[69],"particle":[71],"swarm":[72],"optimization":[73],"(PSO)":[74],"algorithm":[75,89,100,130,144],"capable":[77,132],"training":[79,134,159],"FFNNs":[80,138],"use":[82,152],"adaptive":[83,135,154],"functions.":[86],"PSO":[88,129],"also":[91],"compared":[92],"against":[93],"based":[96],"lambda-gamma":[97],"backpropagation":[98],"(LG-BP)":[101],"on":[102,145,193],"five":[103,106],"classification":[104],"regression":[107],"sets.":[109],"Experiments":[110],"are":[111],"conducted":[112],"scaled":[114],"unscaled":[116,197],"input":[117,198],"as":[119,121],"well":[120],"target":[122,178],"output":[123,179],"ranges":[124],"increasing":[126],"size.":[127],"proves":[131],"significantly":[140],"outperforms":[141],"LG-BP":[143],"all":[146],"problems.":[147],"With":[148],"PSO,":[150],"improves":[157],"accuracy":[160],"FFNN,":[163],"but":[164],"leads":[165],"worse":[167],"generalization":[168,187],"performance":[169],"due":[170],"overfitting.":[172],"Increasing":[173],"size":[175],"increases":[181],"overfitting":[183,190],"worsens":[185],"performance.":[188],"Less":[189],"witnessed":[192],"sets":[195],"data.":[199]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
