{"id":"https://openalex.org/W2137239393","doi":"https://doi.org/10.1109/icsmc.2004.1400684","title":"State-space reconstruction and prediction of chaotic time series based on fuzzy clustering","display_name":"State-space reconstruction and prediction of chaotic time series based on fuzzy clustering","publication_year":2005,"publication_date":"2005-03-31","ids":{"openalex":"https://openalex.org/W2137239393","doi":"https://doi.org/10.1109/icsmc.2004.1400684","mag":"2137239393"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2004.1400684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2004.1400684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5063684561","display_name":"J\u00e1nos Abonyi","orcid":"https://orcid.org/0000-0001-8593-1493"},"institutions":[{"id":"https://openalex.org/I140275651","display_name":"University of Pannonia","ror":"https://ror.org/03y5egs41","country_code":"HU","type":"education","lineage":["https://openalex.org/I140275651"]},{"id":"https://openalex.org/I4210127496","display_name":"Veszpr\u00e9mi \u00c9rseki Hittudom\u00e1nyi F\u00f5iskola","ror":"https://ror.org/03js41c71","country_code":"HU","type":"education","lineage":["https://openalex.org/I4210127496"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"J. Abonyi","raw_affiliation_strings":["Department of Process Engineering, University of Veszpr\u00e9m, Hungary","Dept. of Process Eng., Veszprem Univ., Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Process Engineering, University of Veszpr\u00e9m, Hungary","institution_ids":["https://openalex.org/I4210127496","https://openalex.org/I140275651"]},{"raw_affiliation_string":"Dept. of Process Eng., Veszprem Univ., Hungary","institution_ids":["https://openalex.org/I4210127496"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032919897","display_name":"Bal\u00e1zs Feil","orcid":null},"institutions":[{"id":"https://openalex.org/I140275651","display_name":"University of Pannonia","ror":"https://ror.org/03y5egs41","country_code":"HU","type":"education","lineage":["https://openalex.org/I140275651"]},{"id":"https://openalex.org/I4210127496","display_name":"Veszpr\u00e9mi \u00c9rseki Hittudom\u00e1nyi F\u00f5iskola","ror":"https://ror.org/03js41c71","country_code":"HU","type":"education","lineage":["https://openalex.org/I4210127496"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"B. Feil","raw_affiliation_strings":["Department of Process Engineering, University of Veszpr\u00e9m, Hungary","Dept. of Process Eng., Veszprem Univ., Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Process Engineering, University of Veszpr\u00e9m, Hungary","institution_ids":["https://openalex.org/I4210127496","https://openalex.org/I140275651"]},{"raw_affiliation_string":"Dept. of Process Eng., Veszprem Univ., Hungary","institution_ids":["https://openalex.org/I4210127496"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058338199","display_name":"S\u00e1ndor N\u00e9meth","orcid":"https://orcid.org/0000-0003-1881-4216"},"institutions":[{"id":"https://openalex.org/I140275651","display_name":"University of Pannonia","ror":"https://ror.org/03y5egs41","country_code":"HU","type":"education","lineage":["https://openalex.org/I140275651"]},{"id":"https://openalex.org/I4210127496","display_name":"Veszpr\u00e9mi \u00c9rseki Hittudom\u00e1nyi F\u00f5iskola","ror":"https://ror.org/03js41c71","country_code":"HU","type":"education","lineage":["https://openalex.org/I4210127496"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"S. Nemeth","raw_affiliation_strings":["Department of Process Engineering, University of Veszpr\u00e9m, Hungary","Dept. of Process Eng., Veszprem Univ., Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Process Engineering, University of Veszpr\u00e9m, Hungary","institution_ids":["https://openalex.org/I4210127496","https://openalex.org/I140275651"]},{"raw_affiliation_string":"Dept. of Process Eng., Veszprem Univ., Hungary","institution_ids":["https://openalex.org/I4210127496"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083582177","display_name":"P\u00e9ter \u00c1rva","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127496","display_name":"Veszpr\u00e9mi \u00c9rseki Hittudom\u00e1nyi F\u00f5iskola","ror":"https://ror.org/03js41c71","country_code":"HU","type":"education","lineage":["https://openalex.org/I4210127496"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"P. Arva","raw_affiliation_strings":["Dept. of Process Eng., Veszprem Univ., Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Process Eng., Veszprem Univ., Hungary","institution_ids":["https://openalex.org/I4210127496"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084264842","display_name":"Robert Babu\u0161ka","orcid":"https://orcid.org/0000-0001-9578-8598"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"R. Babuska","raw_affiliation_strings":["Delft Center for Systems and Control, Delft University of Technnology, Delft, Netherlands","Delft University of Technology,,,,,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delft Center for Systems and Control, Delft University of Technnology, Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]},{"raw_affiliation_string":"Delft University of Technology,,,,,","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"2374","last_page":"2380"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10244","display_name":"Chaos control and synchronization","score":0.9965999722480774,"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"}},"topics":[{"id":"https://openalex.org/T10244","display_name":"Chaos control and synchronization","score":0.9965999722480774,"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"}},{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9905999898910522,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6906652450561523},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6762537956237793},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6529719829559326},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.5475767850875854},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.5312105417251587},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5129320621490479},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5093773603439331},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.47578513622283936},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41793739795684814},{"id":"https://openalex.org/keywords/intrinsic-dimension","display_name":"Intrinsic dimension","score":0.4133051037788391},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.4127384126186371},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3614550232887268},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3568720817565918},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20422688126564026},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.09829956293106079},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07761624455451965}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6906652450561523},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6762537956237793},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6529719829559326},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.5475767850875854},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.5312105417251587},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5129320621490479},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5093773603439331},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.47578513622283936},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41793739795684814},{"id":"https://openalex.org/C30732413","wikidata":"https://www.wikidata.org/wiki/Q17092636","display_name":"Intrinsic dimension","level":3,"score":0.4133051037788391},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.4127384126186371},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3614550232887268},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3568720817565918},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20422688126564026},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.09829956293106079},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07761624455451965},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2004.1400684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2004.1400684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W316829799","https://openalex.org/W612816339","https://openalex.org/W1549386224","https://openalex.org/W1560688497","https://openalex.org/W1628613480","https://openalex.org/W1642820549","https://openalex.org/W2010461070","https://openalex.org/W2030876210","https://openalex.org/W2034099719","https://openalex.org/W2034441650","https://openalex.org/W2038426573","https://openalex.org/W2046898115","https://openalex.org/W2066366061","https://openalex.org/W2125035863","https://openalex.org/W2131130331","https://openalex.org/W2151367048","https://openalex.org/W4233391551","https://openalex.org/W4239340087"],"related_works":["https://openalex.org/W3023949003","https://openalex.org/W1489992831","https://openalex.org/W2949892466","https://openalex.org/W4287124125","https://openalex.org/W4361284701","https://openalex.org/W3169905676","https://openalex.org/W2004708907","https://openalex.org/W2377429601","https://openalex.org/W4288373581","https://openalex.org/W2790115721"],"abstract_inverted_index":{"Selecting":[0],"the":[1,13,36,41,49,57,60,63,69,76,80,84,90,104,109],"embedding":[2,71,105],"dimension":[3,47,72],"of":[4,17,48,59,62,79,83,89,103,108,114],"a":[5,9,25,115],"dynamic":[6],"system":[7],"is":[8,33,52,73,93],"key":[10],"step":[11],"toward":[12],"analysis":[14,58],"and":[15,19,112],"prediction":[16,77],"nonlinear":[18],"chaotic":[20],"time-series.":[21],"This":[22],"paper":[23],"proposes":[24],"clustering-based":[26],"algorithm":[27],"for":[28,121],"this":[29],"purpose.":[30],"The":[31,45,86],"clustering":[32],"applied":[34],"in":[35],"reconstructed":[37,50],"space":[38,51],"defined":[39],"by":[40],"lagged":[42],"output":[43],"variables.":[44],"intrinsic":[46,110],"then":[53],"estimated":[54],"based":[55],"on":[56],"eigenvalues":[61],"fuzzy":[64],"cluster":[65],"covariance":[66],"matrices,":[67],"while":[68],"correct":[70],"inferred":[74],"from":[75],"performance":[78],"local":[81],"models":[82],"clusters.":[85],"main":[87],"advantage":[88],"proposed":[91],"solution":[92],"that":[94,117],"three":[95],"tasks":[96],"are":[97],"simultaneously":[98],"solved":[99],"during":[100],"clustering:":[101],"selection":[102],"dimension,":[106,111],"estimation":[107],"identification":[113],"model":[116],"can":[118],"be":[119],"used":[120],"prediction.":[122]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
