{"id":"https://openalex.org/W2105922549","doi":"https://doi.org/10.1109/cec.2012.6256598","title":"Novel hybrid compact genetic algorithm for simultaneous structure and parameter learning of neural networks","display_name":"Novel hybrid compact genetic algorithm for simultaneous structure and parameter learning of neural networks","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2105922549","doi":"https://doi.org/10.1109/cec.2012.6256598","mag":"2105922549"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2012.6256598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5100683999","display_name":"Sandeep Paul","orcid":"https://orcid.org/0000-0002-3743-5601"},"institutions":[{"id":"https://openalex.org/I178254495","display_name":"Dayalbagh Educational Institute","ror":"https://ror.org/04q4j2f69","country_code":"IN","type":"education","lineage":["https://openalex.org/I178254495"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sandeep Paul","raw_affiliation_strings":["Department of Physics and Computer Science, Dayalbagh Educational Institute, Agra 282110, India."],"affiliations":[{"raw_affiliation_string":"Department of Physics and Computer Science, Dayalbagh Educational Institute, Agra 282110, India.","institution_ids":["https://openalex.org/I178254495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100727659","display_name":"Satish Kumar","orcid":"https://orcid.org/0000-0003-3758-6853"},"institutions":[{"id":"https://openalex.org/I178254495","display_name":"Dayalbagh Educational Institute","ror":"https://ror.org/04q4j2f69","country_code":"IN","type":"education","lineage":["https://openalex.org/I178254495"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Satish Kumar","raw_affiliation_strings":["Department of Physics and Computer Science, Dayalbagh Educational Institute, Agra 282110, India."],"affiliations":[{"raw_affiliation_string":"Department of Physics and Computer Science, Dayalbagh Educational Institute, Agra 282110, India.","institution_ids":["https://openalex.org/I178254495"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108535384","display_name":"Lotika Singh","orcid":null},"institutions":[{"id":"https://openalex.org/I178254495","display_name":"Dayalbagh Educational Institute","ror":"https://ror.org/04q4j2f69","country_code":"IN","type":"education","lineage":["https://openalex.org/I178254495"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Lotika Singh","raw_affiliation_strings":["Department of Physics and Computer Science, Dayalbagh Educational Institute, Agra 282110, India."],"affiliations":[{"raw_affiliation_string":"Department of Physics and Computer Science, Dayalbagh Educational Institute, Agra 282110, India.","institution_ids":["https://openalex.org/I178254495"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.213,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":5,"citation_normalized_percentile":{"value":0.587498,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":80,"max":81},"biblio":{"volume":"17","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9997,"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":0.9997,"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":0.9971,"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":0.9934,"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/feedforward-neural-network","display_name":"Feedforward neural network","score":0.56954336},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.53065693}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.67912525},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6435647},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.56954336},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.53065693},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5202657},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.48609948},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.43534023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43192112},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4237484},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.42148277},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22852737},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18430254},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2012.6256598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.44}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":23,"referenced_works":["https://openalex.org/W1482112770","https://openalex.org/W1535597929","https://openalex.org/W1903095223","https://openalex.org/W2009645864","https://openalex.org/W2019207321","https://openalex.org/W2033194777","https://openalex.org/W2048515935","https://openalex.org/W2057752717","https://openalex.org/W2102510699","https://openalex.org/W2103052116","https://openalex.org/W2111716264","https://openalex.org/W2114053544","https://openalex.org/W2115884121","https://openalex.org/W2117812871","https://openalex.org/W2126759136","https://openalex.org/W2126811106","https://openalex.org/W2134514463","https://openalex.org/W2146250864","https://openalex.org/W2147280062","https://openalex.org/W2148379945","https://openalex.org/W2159731849","https://openalex.org/W2172121104","https://openalex.org/W638704909"],"related_works":["https://openalex.org/W972276598","https://openalex.org/W915438175","https://openalex.org/W4321353415","https://openalex.org/W4246352526","https://openalex.org/W2745001401","https://openalex.org/W2378211422","https://openalex.org/W2130974462","https://openalex.org/W2121910908","https://openalex.org/W2086519370","https://openalex.org/W2028665553"],"abstract_inverted_index":{"The":[0,107,128],"automatic":[1,125],"simultaneous":[2],"selection":[3],"of":[4,8,17,22,58,101,104,136],"structure":[5,54],"and":[6,55,79,141,162],"parameters":[7],"an":[9,14],"artificial":[10],"neural":[11,60,86],"networks":[12],"is":[13,70,130],"important":[15],"area":[16],"research.":[18],"Although":[19],"many":[20],"variants":[21],"evolutionary":[23],"algorithms":[24],"(EA)":[25],"have":[26,37],"been":[27],"successfully":[28],"applied":[29],"to":[30,41,124],"this":[31,52],"problem,":[32],"their":[33,39],"demanding":[34],"memory":[35,49],"requirements":[36],"restricted":[38],"application":[40],"real":[42,78,89],"world":[43],"problems,":[44],"especially":[45],"embedded":[46],"applications":[47],"with":[48,158],"constraints.":[50],"In":[51,72],"paper,":[53],"parameter":[56],"learning":[57],"a":[59,63,84,102],"network":[61,164],"using":[62],"novel":[64],"hybrid":[65,109],"compact":[66,110],"genetic":[67,111],"algorithm":[68,112,154],"(HCGA)":[69,113],"proposed.":[71],"the":[73,88,95,99,105,152],"HCGA,":[74],"each":[75],"string":[76],"combines":[77],"binary":[80,96],"segments":[81],"together.":[82],"For":[83],"feedforward":[85],"network,":[87],"segment":[90,97],"encodes":[91,98],"it":[92],"weights,":[93],"while":[94],"presence/absence":[100],"connection":[103],"network.":[106],"proposed":[108,153],"has":[114],"several":[115],"advantages:":[116],"low":[117,159],"computational":[118],"cost,":[119],"controllable":[120,163],"weight":[121],"regularization":[122],"leading":[123],"architecture":[126],"discovery.":[127],"HCGA":[129],"tested":[131],"on":[132],"two":[133],"benchmark":[134],"problems":[135],"Ripley's":[137],"synthetic":[138],"2-class":[139],"problem":[140],"Mackey":[142],"glass":[143],"time":[144],"series":[145],"prediction":[146],"problem.":[147],"Experimental":[148],"results":[149],"show":[150],"that":[151],"exhibits":[155],"good":[156],"performance":[157],"computation":[160],"cost":[161],"structure.":[165]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2105922549","counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2024-12-10T18:11:08.170095","created_date":"2016-06-24"}