{"id":"https://openalex.org/W2055861611","doi":"https://doi.org/10.1109/ijcnn.2013.6706896","title":"Dynamic learning algorithm of multi-layer perceptrons for letter recognition","display_name":"Dynamic learning algorithm of multi-layer perceptrons for letter recognition","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2055861611","doi":"https://doi.org/10.1109/ijcnn.2013.6706896","mag":"2055861611"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2013.6706896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2013.6706896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2013 International Joint Conference on Neural Networks (IJCNN)","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/A5015226441","display_name":"Feng Qin","orcid":"https://orcid.org/0000-0003-2369-145X"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qin Feng","raw_affiliation_strings":["Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, China","[Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, China]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]},{"raw_affiliation_string":"[Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, China]","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007052738","display_name":"Daqi Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gao Daqi","raw_affiliation_strings":["Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, China","[Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, China]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]},{"raw_affiliation_string":"[Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, China]","institution_ids":["https://openalex.org/I143593769"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015226441"],"corresponding_institution_ids":["https://openalex.org/I143593769"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.08990873,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9991000294685364,"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":0.9991000294685364,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7615609765052795},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.752923846244812},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6883925199508667},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.6605511903762817},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5741921663284302},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5489925146102905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5273652672767639},{"id":"https://openalex.org/keywords/decision-boundary","display_name":"Decision boundary","score":0.5143345594406128},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5083062052726746},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3593459129333496},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1490015685558319},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11799764633178711}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7615609765052795},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.752923846244812},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6883925199508667},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.6605511903762817},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5741921663284302},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5489925146102905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5273652672767639},{"id":"https://openalex.org/C42023084","wikidata":"https://www.wikidata.org/wiki/Q5249231","display_name":"Decision boundary","level":3,"score":0.5143345594406128},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5083062052726746},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3593459129333496},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1490015685558319},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11799764633178711},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2013.6706896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2013.6706896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2013 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1945445380","https://openalex.org/W1963807250","https://openalex.org/W1966486380","https://openalex.org/W2025357764","https://openalex.org/W2046042921","https://openalex.org/W2068670002","https://openalex.org/W2084812512","https://openalex.org/W2094934653","https://openalex.org/W2101349570","https://openalex.org/W2103496339","https://openalex.org/W2132549764","https://openalex.org/W2143908786","https://openalex.org/W2147800946","https://openalex.org/W2949108231","https://openalex.org/W4230946174","https://openalex.org/W6684796585"],"related_works":["https://openalex.org/W2894173309","https://openalex.org/W4387932263","https://openalex.org/W2157746493","https://openalex.org/W1495379181","https://openalex.org/W2371065793","https://openalex.org/W4310513257","https://openalex.org/W2111979614","https://openalex.org/W295459979","https://openalex.org/W1514305700","https://openalex.org/W2062254699"],"abstract_inverted_index":{"The":[0,60,86],"classical":[1,106],"back-propagation":[2,49,62],"learning":[3,77,107],"algorithms":[4],"of":[5,14],"neural":[6],"networks":[7],"suffer":[8],"from":[9],"a":[10,33,47],"major":[11],"disadvantage":[12],"that":[13,95],"excessive":[15],"computational":[16],"burden":[17],"encountered":[18],"by":[19],"processing":[20],"all":[21],"the":[22,26,29,38,76,83,90,96],"data.":[23],"Relatively":[24],"speaking,":[25],"samples":[27,67],"near":[28],"separating":[30],"boundary":[31,58,66],"have":[32],"more":[34],"important":[35],"influent":[36],"on":[37,55],"final":[39],"weights":[40,70],"than":[41,105],"those":[42,56,65],"far.":[43],"This":[44],"paper":[45],"presents":[46],"dynamic":[48,61],"algorithm":[50,63,108],"which":[51],"is":[52,99,102],"just":[53],"based":[54],"decision":[57],"samples.":[59],"using":[64],"to":[68],"update":[69],"can":[71,81],"not":[72],"only":[73],"greatly":[74],"improve":[75,82],"speed,":[78],"but":[79],"also":[80],"classification":[84,112],"correction.":[85,113],"experimental":[87],"results":[88],"for":[89],"Letter":[91],"data":[92],"set":[93],"verified":[94],"proposed":[97],"method":[98],"effective.":[100],"It":[101],"far":[103],"faster":[104],"and":[109],"gets":[110],"91.1%":[111]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
