{"id":"https://openalex.org/W2123170761","doi":"https://doi.org/10.1109/icnsc.2015.7116001","title":"Neural networks with dynamic structure using a GA-based learning method","display_name":"Neural networks with dynamic structure using a GA-based learning method","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W2123170761","doi":"https://doi.org/10.1109/icnsc.2015.7116001","mag":"2123170761"},"language":"en","primary_location":{"id":"doi:10.1109/icnsc.2015.7116001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc.2015.7116001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 12th International Conference on Networking, Sensing and Control","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/A5084022662","display_name":"Everett Fall","orcid":null},"institutions":[{"id":"https://openalex.org/I114150738","display_name":"Fu Jen Catholic University","ror":"https://ror.org/04je98850","country_code":"TW","type":"education","lineage":["https://openalex.org/I114150738"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Everett Fall","raw_affiliation_strings":["Department of Electrical Engineering, Fu Jen Catholic University, New Taipei City, Taiwan ROC","Dept. of Electrical Engineering, Fu Jen Catholic University, New Taipei City, Taiwan, ROC"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Fu Jen Catholic University, New Taipei City, Taiwan ROC","institution_ids":["https://openalex.org/I114150738"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, Fu Jen Catholic University, New Taipei City, Taiwan, ROC","institution_ids":["https://openalex.org/I114150738"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052518335","display_name":"Hsin\u2010Han Chiang","orcid":"https://orcid.org/0000-0003-0795-0490"},"institutions":[{"id":"https://openalex.org/I114150738","display_name":"Fu Jen Catholic University","ror":"https://ror.org/04je98850","country_code":"TW","type":"education","lineage":["https://openalex.org/I114150738"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsin-Han Chiang","raw_affiliation_strings":["Department of Electrical Engineering, Fu Jen Catholic University, New Taipei City, Taiwan ROC","Dept. of Electrical Engineering, Fu Jen Catholic University, New Taipei City, Taiwan, ROC"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Fu Jen Catholic University, New Taipei City, Taiwan ROC","institution_ids":["https://openalex.org/I114150738"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, Fu Jen Catholic University, New Taipei City, Taiwan, ROC","institution_ids":["https://openalex.org/I114150738"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5084022662"],"corresponding_institution_ids":["https://openalex.org/I114150738"],"apc_list":null,"apc_paid":null,"fwci":1.2943,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.85859989,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"18","issue":null,"first_page":"7","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9995999932289124,"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":0.9995999932289124,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9851999878883362,"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":0.9387000203132629,"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":0.7805128693580627},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7747551202774048},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6054778695106506},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5742320418357849},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5335012078285217},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.507798969745636},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5058946013450623},{"id":"https://openalex.org/keywords/winner-take-all","display_name":"Winner-take-all","score":0.5025777816772461},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.4726896584033966},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4587036371231079},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4575859606266022},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.45655906200408936},{"id":"https://openalex.org/keywords/biological-neuron-model","display_name":"Biological neuron model","score":0.448012113571167},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3366547226905823},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33611544966697693}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7805128693580627},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7747551202774048},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6054778695106506},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5742320418357849},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5335012078285217},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.507798969745636},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5058946013450623},{"id":"https://openalex.org/C168976158","wikidata":"https://www.wikidata.org/wiki/Q769931","display_name":"Winner-take-all","level":3,"score":0.5025777816772461},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.4726896584033966},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4587036371231079},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4575859606266022},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.45655906200408936},{"id":"https://openalex.org/C186565885","wikidata":"https://www.wikidata.org/wiki/Q1651163","display_name":"Biological neuron model","level":3,"score":0.448012113571167},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3366547226905823},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33611544966697693},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnsc.2015.7116001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc.2015.7116001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 12th International Conference on Networking, Sensing and Control","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":7,"referenced_works":["https://openalex.org/W224543560","https://openalex.org/W613766092","https://openalex.org/W2091174247","https://openalex.org/W2101926813","https://openalex.org/W2111534506","https://openalex.org/W2138321920","https://openalex.org/W2141860972"],"related_works":["https://openalex.org/W1889674915","https://openalex.org/W1517514347","https://openalex.org/W2984834157","https://openalex.org/W2088600489","https://openalex.org/W4300261239","https://openalex.org/W2085961337","https://openalex.org/W2952468791","https://openalex.org/W2088150318","https://openalex.org/W2474902844","https://openalex.org/W2186233897"],"abstract_inverted_index":{"Artificial":[0],"neural":[1,42],"networks":[2,43],"(NNs)":[3],"are":[4,25,82],"traditionally":[5],"designed":[6],"with":[7],"distinctly":[8],"defined":[9,32,55],"layers":[10],"(input":[11],"layer,":[12],"hidden":[13],"layers,":[14],"output":[15,128],"layer)":[16],"and":[17,22,74,143,159],"accordingly":[18],"network":[19,68,153],"design":[20],"techniques":[21],"training":[23,112],"algorithms":[24],"based":[26],"on":[27],"this":[28,35],"concept":[29],"of":[30,48,77,93,110,121,135,165],"strictly":[31,54],"layers.":[33],"In":[34],"paper,":[36],"a":[37,87,126,131,163],"new":[38],"approach":[39],"to":[40,100,115,141,156],"designing":[41],"is":[44,52,97,138,154],"presented.":[45],"The":[46,91],"structure":[47,69],"the":[49,66,103,106,111,116,119,136],"proposed":[50],"NN":[51],"not":[53],"(each":[56],"neuron":[57,95,123],"may":[58],"receive":[59],"input":[60,96],"from":[61],"any":[62],"other":[63],"neuron).":[64],"Instead,":[65],"initial":[67],"can":[70],"be":[71],"randomly":[72],"generated,":[73],"traditional":[75],"methods":[76],"training,":[78],"such":[79],"as":[80,102,130,162],"back-propagation,":[81],"replaced":[83],"or":[84],"augmented":[85],"by":[86],"genetic":[88],"algorithm":[89],"(GA).":[90],"weighting":[92],"each":[94,122],"encoded":[98],"genetically":[99],"serve":[101],"genes":[104],"for":[105,147],"GA.":[107],"By":[108],"means":[109],"data":[113],"provided":[114],"supervised":[117],"network,":[118],"contribution":[120],"in":[124],"creating":[125],"desired":[127],"serves":[129],"selection":[132],"function.":[133],"Each":[134],"neurons":[137],"then":[139],"modified":[140],"store":[142],"recall":[144],"past":[145],"weightings":[146],"possible":[148],"future":[149],"use.":[150],"A":[151],"simple":[152],"trained":[155],"recognize":[157],"vertical":[158],"horizontal":[160],"lines":[161],"proof":[164],"concept.":[166]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}