{"id":"https://openalex.org/W2476144514","doi":"https://doi.org/10.1109/ijcnn.2003.1223752","title":"Classification of the Italian Liras using the LVQ method","display_name":"Classification of the Italian Liras using the LVQ method","publication_year":2004,"publication_date":"2004-03-23","ids":{"openalex":"https://openalex.org/W2476144514","doi":"https://doi.org/10.1109/ijcnn.2003.1223752","mag":"2476144514"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2003.1223752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223752","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","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/A5112572267","display_name":"S. \u014cmatu","orcid":null},"institutions":[{"id":"https://openalex.org/I15807432","display_name":"Osaka Prefecture University","ror":"https://ror.org/02cf1je33","country_code":"JP","type":"education","lineage":["https://openalex.org/I15807432"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"S. Omatu","raw_affiliation_strings":["Osaka Prefecture University, Sakai, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka Prefecture University, Sakai, Osaka, Japan","institution_ids":["https://openalex.org/I15807432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109508816","display_name":"Tatsuro KOSAKA","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136973","display_name":"Glory (Japan)","ror":"https://ror.org/0486fm608","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210136973"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"T. Kosaka","raw_affiliation_strings":["Glory TD, Himeji, Hyogo, Japan"],"affiliations":[{"raw_affiliation_string":"Glory TD, Himeji, Hyogo, Japan","institution_ids":["https://openalex.org/I4210136973"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001122290","display_name":"Masaru TERANISI","orcid":null},"institutions":[{"id":"https://openalex.org/I4210140361","display_name":"National Institute of Technology, Nara College","ror":"https://ror.org/034jd0m14","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210120810","https://openalex.org/I4210140361"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"M. Teranisi","raw_affiliation_strings":["Nara National Technical College, Nara, Japan"],"affiliations":[{"raw_affiliation_string":"Nara National Technical College, Nara, Japan","institution_ids":["https://openalex.org/I4210140361"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112572267"],"corresponding_institution_ids":["https://openalex.org/I15807432"],"apc_list":null,"apc_paid":null,"fwci":0.452,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.77663404,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"3","issue":null,"first_page":"2212","last_page":"2215"},"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9272000193595886,"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":0.917900025844574,"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/learning-vector-quantization","display_name":"Learning vector quantization","score":0.9886817932128906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.720386266708374},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6637343168258667},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.655864417552948},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6411277055740356},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5063842535018921},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.47500503063201904},{"id":"https://openalex.org/keywords/pattern-matching","display_name":"Pattern matching","score":0.4638609290122986},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.4616692364215851},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4530262351036072},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41394859552383423},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18081966042518616}],"concepts":[{"id":"https://openalex.org/C40567965","wikidata":"https://www.wikidata.org/wiki/Q1820283","display_name":"Learning vector quantization","level":3,"score":0.9886817932128906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.720386266708374},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6637343168258667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.655864417552948},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6411277055740356},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5063842535018921},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.47500503063201904},{"id":"https://openalex.org/C68859911","wikidata":"https://www.wikidata.org/wiki/Q1503724","display_name":"Pattern matching","level":2,"score":0.4638609290122986},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.4616692364215851},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4530262351036072},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41394859552383423},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18081966042518616},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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.2003.1223752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223752","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","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":6,"referenced_works":["https://openalex.org/W1540362944","https://openalex.org/W1679913846","https://openalex.org/W1905723784","https://openalex.org/W2509763720","https://openalex.org/W4213332169","https://openalex.org/W6725838989"],"related_works":["https://openalex.org/W2063660148","https://openalex.org/W4243803532","https://openalex.org/W1530525041","https://openalex.org/W2352648934","https://openalex.org/W4230688072","https://openalex.org/W1915693853","https://openalex.org/W2378212145","https://openalex.org/W2798892016","https://openalex.org/W2202992072","https://openalex.org/W2100968651"],"abstract_inverted_index":{"For":[0],"the":[1,5,10,15,38,45,52,59,74,79,97],"pattern":[2,11,86],"classification":[3,61,95,103],"problems":[4],"neuro-pattern":[6],"recognition":[7,12],"which":[8,89],"is":[9],"based":[13],"on":[14],"neural":[16],"network":[17,76],"approach":[18],"has":[19,90,100],"been":[20,91],"paid":[21],"an":[22],"attention":[23],"since":[24],"it":[25,56],"can":[26,57],"classify":[27,44,78],"various":[28,46],"patterns":[29],"like":[30],"human":[31],"beings.":[32],"In":[33],"this":[34],"paper,":[35],"we":[36],"adopt":[37],"learning":[39],"vector":[40],"quantization(LVQ)":[41],"method":[42,99],"to":[43,50,77],"money.":[47],"The":[48],"reasons":[49],"use":[51],"LVQ":[53,75],"are":[54],"that":[55],"process":[58],"unsupervised":[60],"and":[62],"treat":[63],"many":[64],"input":[65],"data":[66],"with":[67,83],"small":[68],"computational":[69],"burdens.":[70],"We":[71],"will":[72],"construct":[73],"Italian":[80],"Liras.":[81],"Compared":[82],"a":[84,94],"conventional":[85],"matching":[87],"technique,":[88],"adopted":[92],"as":[93],"method,":[96],"proposed":[98],"shown":[101],"excellent":[102],"results.":[104]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}