{"id":"https://openalex.org/W2164523532","doi":"https://doi.org/10.1109/ijcnn.2003.1224000","title":"Flexible self-organizing maps by information maximization","display_name":"Flexible self-organizing maps by information maximization","publication_year":2004,"publication_date":"2004-06-22","ids":{"openalex":"https://openalex.org/W2164523532","doi":"https://doi.org/10.1109/ijcnn.2003.1224000","mag":"2164523532"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2003.1224000","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1224000","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/A5079603834","display_name":"Ryotaro Kamimura","orcid":"https://orcid.org/0000-0002-4238-3463"},"institutions":[{"id":"https://openalex.org/I1314466530","display_name":"Tokai University","ror":"https://ror.org/01p7qe739","country_code":"JP","type":"education","lineage":["https://openalex.org/I1314466530"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"R. Kamimura","raw_affiliation_strings":["Information Science Laboratory and Future Science and Technology Joint Research Center, Tokai University, Hiratsuka, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Information Science Laboratory and Future Science and Technology Joint Research Center, Tokai University, Hiratsuka, Kanagawa, Japan","institution_ids":["https://openalex.org/I1314466530"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022312666","display_name":"Haruhiko Takeuchi","orcid":"https://orcid.org/0000-0002-9276-351X"},"institutions":[{"id":"https://openalex.org/I1314466530","display_name":"Tokai University","ror":"https://ror.org/01p7qe739","country_code":"JP","type":"education","lineage":["https://openalex.org/I1314466530"]},{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H. Takeuchi","raw_affiliation_strings":["Human-Computer Interaction Group, Institute for Human Science and Biomedical Engineering, National Institute for Advanced Industrial Science and Technology, Tsukuba, Japan","Information Science Laboratory and Future Science and Technology Joint Research Center, Tokai University, Hiratsuka, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Human-Computer Interaction Group, Institute for Human Science and Biomedical Engineering, National Institute for Advanced Industrial Science and Technology, Tsukuba, Japan","institution_ids":["https://openalex.org/I73613424"]},{"raw_affiliation_string":"Information Science Laboratory and Future Science and Technology Joint Research Center, Tokai University, Hiratsuka, Kanagawa, Japan","institution_ids":["https://openalex.org/I1314466530"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5079603834"],"corresponding_institution_ids":["https://openalex.org/I1314466530"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13703824,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"2734","last_page":"2739"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9842000007629395,"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":0.9480999708175659,"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":0.7501068115234375},{"id":"https://openalex.org/keywords/self-organizing-map","display_name":"Self-organizing map","score":0.7101860642433167},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.6215083599090576},{"id":"https://openalex.org/keywords/competitive-learning","display_name":"Competitive learning","score":0.559197187423706},{"id":"https://openalex.org/keywords/competition","display_name":"Competition (biology)","score":0.5066388249397278},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49390703439712524},{"id":"https://openalex.org/keywords/unit","display_name":"Unit (ring theory)","score":0.4860256314277649},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.4746459126472473},{"id":"https://openalex.org/keywords/competitive-advantage","display_name":"Competitive advantage","score":0.4616019129753113},{"id":"https://openalex.org/keywords/winner-take-all","display_name":"Winner-take-all","score":0.4573710262775421},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.4223361909389496},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39179015159606934},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3847448527812958},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.333257794380188},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.23889127373695374},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.1682775616645813},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15727192163467407}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7501068115234375},{"id":"https://openalex.org/C111168008","wikidata":"https://www.wikidata.org/wiki/Q1136838","display_name":"Self-organizing map","level":3,"score":0.7101860642433167},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.6215083599090576},{"id":"https://openalex.org/C120822770","wikidata":"https://www.wikidata.org/wiki/Q5156355","display_name":"Competitive learning","level":3,"score":0.559197187423706},{"id":"https://openalex.org/C91306197","wikidata":"https://www.wikidata.org/wiki/Q45767","display_name":"Competition (biology)","level":2,"score":0.5066388249397278},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49390703439712524},{"id":"https://openalex.org/C122637931","wikidata":"https://www.wikidata.org/wiki/Q118084","display_name":"Unit (ring theory)","level":2,"score":0.4860256314277649},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.4746459126472473},{"id":"https://openalex.org/C58546491","wikidata":"https://www.wikidata.org/wiki/Q1150207","display_name":"Competitive advantage","level":2,"score":0.4616019129753113},{"id":"https://openalex.org/C168976158","wikidata":"https://www.wikidata.org/wiki/Q769931","display_name":"Winner-take-all","level":3,"score":0.4573710262775421},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.4223361909389496},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39179015159606934},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3847448527812958},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.333257794380188},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.23889127373695374},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.1682775616645813},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15727192163467407},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2003.1224000","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1224000","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":37,"referenced_works":["https://openalex.org/W68526433","https://openalex.org/W81573328","https://openalex.org/W286094780","https://openalex.org/W1490454746","https://openalex.org/W1575205770","https://openalex.org/W1990517717","https://openalex.org/W2004737838","https://openalex.org/W2010315761","https://openalex.org/W2011206281","https://openalex.org/W2015927025","https://openalex.org/W2045908891","https://openalex.org/W2069451000","https://openalex.org/W2071781501","https://openalex.org/W2088709281","https://openalex.org/W2088736299","https://openalex.org/W2122925692","https://openalex.org/W2123806929","https://openalex.org/W2141132211","https://openalex.org/W2144914634","https://openalex.org/W2148394752","https://openalex.org/W2151351982","https://openalex.org/W2159110831","https://openalex.org/W2166322089","https://openalex.org/W2168487341","https://openalex.org/W2168993425","https://openalex.org/W2287077337","https://openalex.org/W2620711578","https://openalex.org/W2887242076","https://openalex.org/W3036512766","https://openalex.org/W4213332169","https://openalex.org/W4230610536","https://openalex.org/W4232755852","https://openalex.org/W4244342249","https://openalex.org/W6602766315","https://openalex.org/W6610488398","https://openalex.org/W6629419682","https://openalex.org/W6738904343"],"related_works":["https://openalex.org/W2020360339","https://openalex.org/W2160366419","https://openalex.org/W2590565095","https://openalex.org/W2149471286","https://openalex.org/W2112235833","https://openalex.org/W2022423190","https://openalex.org/W150043153","https://openalex.org/W2077363526","https://openalex.org/W2112751893","https://openalex.org/W3140709591"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,69,87],"new":[6,96],"information":[7,31,42],"theoretic":[8],"method":[9,14,85,97],"for":[10],"self-organizing":[11,102,106],"maps.":[12],"The":[13],"aims":[15],"to":[16,23,30,72,86],"control":[17],"competitive":[18,26,47,63],"processes":[19],"flexibly,":[20],"that":[21,94],"is,":[22],"produce":[24,99],"different":[25],"unit":[27,50],"activations":[28],"according":[29],"content":[32],"obtained":[33],"in":[34],"learning.":[35],"Competition":[36],"is":[37,67],"realized":[38],"by":[39,54],"maximizing":[40],"mutual":[41],"between":[43,59],"input":[44,60,80],"patterns":[45,61],"and":[46,62],"units.":[48],"Competitive":[49],"outputs":[51],"are":[52],"computed":[53],"the":[55,95],"inverse":[56],"of":[57],"distance":[58,66],"unit.":[64],"As":[65],"smaller,":[68],"neuron":[70],"tends":[71],"fire":[73],"strongly.":[74],"Thus,":[75],"winning":[76],"neurons":[77],"represent":[78],"faithfully":[79],"patterns.":[81],"We":[82],"applied":[83],"our":[84],"road":[88],"classification":[89],"problem.":[90],"Experimental":[91],"results":[92],"confirmed":[93],"could":[98],"more":[100],"explicit":[101],"maps":[103],"than":[104],"conventional":[105],"methods.":[107]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
