{"id":"https://openalex.org/W2129675946","doi":"https://doi.org/10.1109/cec.2011.5949868","title":"Classifying glyphs by combining evolution and learning","display_name":"Classifying glyphs by combining evolution and learning","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2129675946","doi":"https://doi.org/10.1109/cec.2011.5949868","mag":"2129675946"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2011.5949868","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2011.5949868","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Congress of Evolutionary Computation (CEC)","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/A5077984779","display_name":"Tiril Anette Langfeldt Rodland","orcid":null},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Tiril Anette Langfeldt Rodland","raw_affiliation_strings":["Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway","Department of Computer and Information Science, The Norwegian University of Science and Technology (NTNU), Trondheim, Norway"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]},{"raw_affiliation_string":"Department of Computer and Information Science, The Norwegian University of Science and Technology (NTNU), Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5077984779"],"corresponding_institution_ids":["https://openalex.org/I204778367"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12838855,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2055","last_page":"2062"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.989300012588501,"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":0.989300012588501,"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":0.968500018119812,"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":0.9569000005722046,"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/glyph","display_name":"Glyph (data visualization)","score":0.8941026926040649},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8011202812194824},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.7930638790130615},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6446009874343872},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6095559000968933},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4650401175022125},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42369112372398376},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.380794495344162},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33035409450531006},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.16852489113807678}],"concepts":[{"id":"https://openalex.org/C142816647","wikidata":"https://www.wikidata.org/wiki/Q5573018","display_name":"Glyph (data visualization)","level":3,"score":0.8941026926040649},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8011202812194824},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.7930638790130615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6446009874343872},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6095559000968933},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4650401175022125},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42369112372398376},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.380794495344162},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33035409450531006},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.16852489113807678}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cec.2011.5949868","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2011.5949868","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Congress of Evolutionary Computation (CEC)","raw_type":"proceedings-article"},{"id":"pmh:oai:brage.bibsys.no:11250/252497","is_oa":false,"landing_page_url":"http://hdl.handle.net/11250/252497","pdf_url":null,"source":{"id":"https://openalex.org/S4306400255","display_name":"BIBSYS Brage (BIBSYS (Norway))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I173212132","host_organization_name":"Vilnius University","host_organization_lineage":["https://openalex.org/I173212132"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"119","raw_type":"Master thesis"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8299999833106995,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311040","display_name":"Norges Teknisk-Naturvitenskapelige Universitet","ror":"https://ror.org/05xg72x27"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W19331313","https://openalex.org/W649371975","https://openalex.org/W1503772625","https://openalex.org/W1507439377","https://openalex.org/W1554663460","https://openalex.org/W1566810357","https://openalex.org/W1566892458","https://openalex.org/W1581855203","https://openalex.org/W1590910870","https://openalex.org/W1980480036","https://openalex.org/W1985626581","https://openalex.org/W1986477256","https://openalex.org/W2035487336","https://openalex.org/W2056390236","https://openalex.org/W2082777485","https://openalex.org/W2117014736","https://openalex.org/W2127245615","https://openalex.org/W2139473351","https://openalex.org/W2150381039","https://openalex.org/W2158441602","https://openalex.org/W2169424704","https://openalex.org/W2334394966","https://openalex.org/W4244956100","https://openalex.org/W4388297464","https://openalex.org/W6621298935","https://openalex.org/W6633075811","https://openalex.org/W6633826305","https://openalex.org/W6633877499","https://openalex.org/W6635225440"],"related_works":["https://openalex.org/W2971077392","https://openalex.org/W2350760135","https://openalex.org/W2090371563","https://openalex.org/W1972316918","https://openalex.org/W2894173309","https://openalex.org/W4387932263","https://openalex.org/W2098962763","https://openalex.org/W2371065793","https://openalex.org/W2157746493","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Artificial":[0],"neural":[1],"networks":[2],"are":[3,41],"used":[4],"to":[5,43,56,75],"classify":[6],"the":[7,17,25,28,44,59,65,70,76],"writing":[8],"system":[9],"of":[10,16,27,58],"an":[11],"unseen":[12],"glyph.":[13],"The":[14,48],"complexity":[15],"problem":[18],"necessitates":[19],"a":[20],"large":[21],"network,":[22],"which":[23],"hampers":[24],"training":[26],"weights.":[29],"Three":[30],"hybrid":[31,60],"algorithms":[32],"-":[33,40],"combining":[34],"evolution":[35],"and":[36,69],"back":[37],"propagation":[38],"learning":[39],"compared":[42],"standard":[45],"back-propagation":[46,53],"algorithm.":[47],"results":[49,68],"indicate":[50],"that":[51],"pure":[52],"is":[54],"preferable":[55],"any":[57],"algorithms.":[61],"Back-propagation":[62],"had":[63],"both":[64],"best":[66],"classification":[67],"fastest":[71],"runtime,":[72],"in":[73],"addition":[74],"least":[77],"complex":[78],"implementation.":[79]},"counts_by_year":[],"updated_date":"2026-02-25T21:11:00.739837","created_date":"2025-10-10T00:00:00"}
