{"id":"https://openalex.org/W1545838825","doi":"https://doi.org/10.1109/ijcnn.2005.1555945","title":"Nonlinear dynamics on VSF-network","display_name":"Nonlinear dynamics on VSF-network","publication_year":2006,"publication_date":"2006-01-05","ids":{"openalex":"https://openalex.org/W1545838825","doi":"https://doi.org/10.1109/ijcnn.2005.1555945","mag":"1545838825"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2005.1555945","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1555945","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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/A5005424240","display_name":"Yoshitsugu Kakemoto","orcid":null},"institutions":[{"id":"https://openalex.org/I4210125947","display_name":"Japan Research Institute","ror":"https://ror.org/02m5srn05","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210125947"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Y. Kakemoto","raw_affiliation_strings":["Financial Planning Division, Japan Research Institute Limited, Setagaya, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Financial Planning Division, Japan Research Institute Limited, Setagaya, Tokyo, Japan","institution_ids":["https://openalex.org/I4210125947"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112503941","display_name":"Shinichi Nakasuka","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"S. Nakasuka","raw_affiliation_strings":["The Faculty of Engineering, University of Tokyo, Bunkyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Faculty of Engineering, University of Tokyo, Bunkyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9122,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70592334,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"747","last_page":"752"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9987999796867371,"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":0.9987999796867371,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9934999942779541,"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"}},{"id":"https://openalex.org/T10244","display_name":"Chaos control and synchronization","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/synchronizing","display_name":"Synchronizing","score":0.8301250338554382},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6777235865592957},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6562838554382324},{"id":"https://openalex.org/keywords/bifurcation","display_name":"Bifurcation","score":0.6182498335838318},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5741751194000244},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5298264622688293},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.49739816784858704},{"id":"https://openalex.org/keywords/echo-state-network","display_name":"Echo state network","score":0.4602557420730591},{"id":"https://openalex.org/keywords/biological-neuron-model","display_name":"Biological neuron model","score":0.4409295320510864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3566945791244507},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.336880087852478},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.1806429922580719},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17028528451919556},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11313655972480774},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09435221552848816},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.0768948495388031},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07089683413505554}],"concepts":[{"id":"https://openalex.org/C162932704","wikidata":"https://www.wikidata.org/wiki/Q1058791","display_name":"Synchronizing","level":3,"score":0.8301250338554382},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6777235865592957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6562838554382324},{"id":"https://openalex.org/C2781349735","wikidata":"https://www.wikidata.org/wiki/Q4904824","display_name":"Bifurcation","level":3,"score":0.6182498335838318},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5741751194000244},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5298264622688293},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.49739816784858704},{"id":"https://openalex.org/C172025690","wikidata":"https://www.wikidata.org/wiki/Q5332763","display_name":"Echo state network","level":4,"score":0.4602557420730591},{"id":"https://openalex.org/C186565885","wikidata":"https://www.wikidata.org/wiki/Q1651163","display_name":"Biological neuron model","level":3,"score":0.4409295320510864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3566945791244507},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.336880087852478},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.1806429922580719},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17028528451919556},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11313655972480774},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09435221552848816},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0768948495388031},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07089683413505554},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2005.1555945","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1555945","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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":8,"referenced_works":["https://openalex.org/W1595097017","https://openalex.org/W2002496965","https://openalex.org/W2007099865","https://openalex.org/W2125001634","https://openalex.org/W2133098399","https://openalex.org/W2912565176","https://openalex.org/W4211007335","https://openalex.org/W4292880809"],"related_works":["https://openalex.org/W2359328895","https://openalex.org/W2007402811","https://openalex.org/W2363535981","https://openalex.org/W2326762630","https://openalex.org/W2391354408","https://openalex.org/W2166562438","https://openalex.org/W2388558702","https://openalex.org/W2349570115","https://openalex.org/W1547691138","https://openalex.org/W1934825390"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"dynamics":[3,71],"of":[4,16,46,72,88],"VSF-network":[5,12,30,48],"(vibration":[6],"synchronizing":[7,58],"function":[8],"network)":[9],"is":[10,13,31,40],"investigated.":[11,82,98],"a":[14,32],"model":[15],"neural":[17,34],"networks":[18],"that":[19,60],"segments":[20],"information":[21,50],"from":[22],"external":[23],"world":[24],"and":[25,36,85,92],"fixes":[26],"the":[27,37,43,52,57,61,70,74,86,89],"segmented":[28],"information.":[29],"hybrid":[33],"network,":[35],"chaos":[38,62],"neuron":[39,53,63,75,90],"used":[41],"for":[42],"hidden":[44,65],"layer":[45,66],"it.":[47],"articulates":[49],"with":[51],"cluster":[54,79,91,95],"generated":[55],"by":[56],"vibration":[59],"in":[64],"shows.":[67],"We":[68],"analyze":[69],"generating":[73],"cluster.":[76],"Factors":[77],"affecting":[78,94],"generation":[80,96],"are":[81,97],"The":[83],"stability":[84],"bifurcation":[87],"factors":[93]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}