{"id":"https://openalex.org/W2141884028","doi":"https://doi.org/10.1109/icsmc.2009.5346827","title":"Simultaneous verses successive learning in neural networks","display_name":"Simultaneous verses successive learning in neural networks","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W2141884028","doi":"https://doi.org/10.1109/icsmc.2009.5346827","mag":"2141884028"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2009.5346827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2009.5346827","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/A5103019757","display_name":"Anthony Choi","orcid":"https://orcid.org/0000-0002-0714-2701"},"institutions":[{"id":"https://openalex.org/I150149174","display_name":"Mercer University","ror":"https://ror.org/04bk7v425","country_code":"US","type":"education","lineage":["https://openalex.org/I150149174"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Anthony Choi","raw_affiliation_strings":["Electrical and Computer Engineering, Mercer University, Macon, GA, USA","Electrical and Computer Engineering, Mercer University, Macon, GA, US"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Mercer University, Macon, GA, USA","institution_ids":["https://openalex.org/I150149174"]},{"raw_affiliation_string":"Electrical and Computer Engineering, Mercer University, Macon, GA, US","institution_ids":["https://openalex.org/I150149174"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048786013","display_name":"Nithyalakshmi Nareshkumar","orcid":null},"institutions":[{"id":"https://openalex.org/I83328450","display_name":"Miami University","ror":"https://ror.org/05nbqxr67","country_code":"US","type":"education","lineage":["https://openalex.org/I83328450"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nithyalakshmi Nareshkumar","raw_affiliation_strings":["Computer Science and System Analysis, Miami University, Oxford, OH, USA","Computer Science and System Analysis, Miami University, Oxford, OH, US"],"affiliations":[{"raw_affiliation_string":"Computer Science and System Analysis, Miami University, Oxford, OH, USA","institution_ids":["https://openalex.org/I83328450"]},{"raw_affiliation_string":"Computer Science and System Analysis, Miami University, Oxford, OH, US","institution_ids":["https://openalex.org/I83328450"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103019757"],"corresponding_institution_ids":["https://openalex.org/I150149174"],"apc_list":null,"apc_paid":null,"fwci":0.4362,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.7417692,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"44","issue":null,"first_page":"4224","last_page":"4231"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9986000061035156,"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":0.9986000061035156,"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/T14394","display_name":"Cognitive Science and Education Research","score":0.9621000289916992,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7983310222625732},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6962250471115112},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6553476452827454},{"id":"https://openalex.org/keywords/types-of-artificial-neural-networks","display_name":"Types of artificial neural networks","score":0.49905943870544434},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.497696191072464},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4947964549064636},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.47467470169067383},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4530659317970276},{"id":"https://openalex.org/keywords/intuition","display_name":"Intuition","score":0.4394402801990509},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.3247852325439453},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.21161675453186035},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14374178647994995},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.0704006552696228}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7983310222625732},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6962250471115112},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6553476452827454},{"id":"https://openalex.org/C177973122","wikidata":"https://www.wikidata.org/wiki/Q7860946","display_name":"Types of artificial neural networks","level":4,"score":0.49905943870544434},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.497696191072464},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4947964549064636},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.47467470169067383},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4530659317970276},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.4394402801990509},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.3247852325439453},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.21161675453186035},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14374178647994995},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0704006552696228},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2009.5346827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2009.5346827","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":[{"score":0.4399999976158142,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1497673662","https://openalex.org/W1498436455","https://openalex.org/W1964458621","https://openalex.org/W1965968028","https://openalex.org/W1977702581","https://openalex.org/W1982094023","https://openalex.org/W1995341919","https://openalex.org/W2037206765","https://openalex.org/W2039336168","https://openalex.org/W2048822829","https://openalex.org/W2050414686","https://openalex.org/W2052552354","https://openalex.org/W2080483592","https://openalex.org/W2086789740","https://openalex.org/W2094829607","https://openalex.org/W2171277043","https://openalex.org/W2215343611","https://openalex.org/W2317722949","https://openalex.org/W2468443503","https://openalex.org/W2751379301","https://openalex.org/W3148499377","https://openalex.org/W4253851866","https://openalex.org/W6608264911","https://openalex.org/W7043292981"],"related_works":["https://openalex.org/W2373874059","https://openalex.org/W2524120878","https://openalex.org/W1538606284","https://openalex.org/W4385254110","https://openalex.org/W3008584592","https://openalex.org/W3206636855","https://openalex.org/W3094631814","https://openalex.org/W2789237874","https://openalex.org/W2109916967","https://openalex.org/W4319456675"],"abstract_inverted_index":{"Neural":[0,59],"networks":[1,13,30,55,60,104,112,178],"were":[2,49],"inspired":[3],"by":[4],"the":[5,16,26,32,36,62,96,121,138,145,148,158,194],"human":[6,33,47,65,100,170,196],"brain,":[7],"with":[8,135],"great":[9],"hopes":[10],"that":[11,68,87,176],"neural":[12,29,54,103,111,177],"would":[14,89,150],"capture":[15],"vast":[17],"potential":[18],"of":[19,38,98,116,123,140,147,161],"its":[20],"biological":[21],"counterpart.":[22],"This":[23],"paper":[24,174],"explores":[25],"link":[27],"between":[28],"and":[31,51,77,125,186],"brain":[34],"in":[35],"context":[37],"simultaneous":[39,69,88,124],"vs.":[40],"successive":[41,74,91,126],"learning.":[42,75],"Learning":[43],"experiments":[44,67,198],"conducted":[45],"on":[46],"subjects":[48],"modeled":[50],"repeated":[52],"using":[53],"as":[56,92,182],"test":[57],"subjects.":[58],"confirmed":[61,167],"conclusion":[63],"from":[64,110],"subject":[66,197],"learning":[70,127,141],"was":[71],"faster":[72],"than":[73],"Loess":[76],"Duncan":[78],"further":[79],"extended":[80],"their":[81,99,106],"hypothesis":[82],"without":[83],"formal":[84],"experimental":[85],"evidence":[86],"outperform":[90],"complexity":[93,146],"increased":[94],"beyond":[95],"scope":[97],"experiments.":[101,171],"Interestingly,":[102],"contradict":[105],"hypothesis.":[107],"The":[108],"results":[109],"demonstrate":[113],"an":[114],"existence":[115],"a":[117,183,191],"threshold,":[118],"after":[119],"which":[120],"effects":[122],"become":[128],"negligible.":[129],"Intuitively,":[130],"when":[131],"humans":[132],"are":[133,199],"presented":[134],"complicated":[136],"tasks,":[137],"type":[139],"is":[142],"immaterial,":[143],"since":[144],"problem":[149],"overwhelm":[151],"any":[152],"advantages":[153],"one":[154],"method":[155],"has":[156],"over":[157],"other.":[159],"Confirmation":[160],"this":[162,173],"intuition":[163],"can":[164,179],"only":[165],"be":[166,180],"through":[168],"future":[169],"Furthermore,":[172],"demonstrates":[175],"used":[181],"rough":[184],"model":[185],"give":[187],"valuable":[188],"insight":[189],"into":[190],"problem,":[192],"before":[193],"costly":[195],"conducted.":[200]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
