{"id":"https://openalex.org/W2982899556","doi":"https://doi.org/10.1109/access.2019.2952365","title":"Phase Space Reconstruction-Based Conceptor Network for Time Series Prediction","display_name":"Phase Space Reconstruction-Based Conceptor Network for Time Series Prediction","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2982899556","doi":"https://doi.org/10.1109/access.2019.2952365","mag":"2982899556"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2952365","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2952365","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08894427.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08894427.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102889984","display_name":"Xu Zheng","orcid":"https://orcid.org/0000-0002-9434-2671"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zheng Xu","raw_affiliation_strings":["School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-9434-2671","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016550361","display_name":"Ling Zhong","orcid":"https://orcid.org/0000-0001-7615-387X"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Zhong","raw_affiliation_strings":["Alibaba Group, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-7615-387X","affiliations":[{"raw_affiliation_string":"Alibaba Group, Chengdu, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026654173","display_name":"Anguo Zhang","orcid":"https://orcid.org/0000-0002-4825-7054"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anguo Zhang","raw_affiliation_strings":["College of Physics and Information Engineering, Fuzhou University, Fuzhou, China","Research Institute of Ruijie, Ruijie Networks Company Ltd., Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4825-7054","affiliations":[{"raw_affiliation_string":"College of Physics and Information Engineering, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"Research Institute of Ruijie, Ruijie Networks Company Ltd., Fuzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102889984"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.0163,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.83229247,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"163172","last_page":"163179"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9998999834060669,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9998999834060669,"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/T10320","display_name":"Neural Networks and Applications","score":0.9779999852180481,"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/T11187","display_name":"Nonlinear Dynamics and Pattern Formation","score":0.9459999799728394,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/reservoir-computing","display_name":"Reservoir computing","score":0.8234541416168213},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7043680548667908},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.6503781080245972},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5719290971755981},{"id":"https://openalex.org/keywords/lorenz-system","display_name":"Lorenz system","score":0.5627552270889282},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.5318232178688049},{"id":"https://openalex.org/keywords/phase-space","display_name":"Phase space","score":0.529262900352478},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5278487205505371},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5099014043807983},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.39139050245285034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3758966326713562},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.24263876676559448},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2392084002494812},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23343953490257263},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.1868341863155365},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.15934190154075623},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.10535666346549988}],"concepts":[{"id":"https://openalex.org/C135796866","wikidata":"https://www.wikidata.org/wiki/Q7315328","display_name":"Reservoir computing","level":4,"score":0.8234541416168213},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7043680548667908},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.6503781080245972},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5719290971755981},{"id":"https://openalex.org/C151510863","wikidata":"https://www.wikidata.org/wiki/Q899844","display_name":"Lorenz system","level":3,"score":0.5627552270889282},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.5318232178688049},{"id":"https://openalex.org/C151342819","wikidata":"https://www.wikidata.org/wiki/Q62542","display_name":"Phase space","level":2,"score":0.529262900352478},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5278487205505371},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5099014043807983},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.39139050245285034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3758966326713562},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.24263876676559448},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2392084002494812},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23343953490257263},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.1868341863155365},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.15934190154075623},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.10535666346549988},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2952365","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2952365","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08894427.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:64579920dcc545be988814ccb2135fc9","is_oa":true,"landing_page_url":"https://doaj.org/article/64579920dcc545be988814ccb2135fc9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 163172-163179 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2952365","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2952365","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08894427.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2982899556.pdf","grobid_xml":"https://content.openalex.org/works/W2982899556.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W143572216","https://openalex.org/W1469859527","https://openalex.org/W1669737173","https://openalex.org/W1851970720","https://openalex.org/W1902688491","https://openalex.org/W1928926357","https://openalex.org/W1984516841","https://openalex.org/W1996014987","https://openalex.org/W2001263627","https://openalex.org/W2016650930","https://openalex.org/W2025763088","https://openalex.org/W2047063224","https://openalex.org/W2056724277","https://openalex.org/W2069301288","https://openalex.org/W2093446113","https://openalex.org/W2103179919","https://openalex.org/W2116374140","https://openalex.org/W2118706537","https://openalex.org/W2131249591","https://openalex.org/W2139287577","https://openalex.org/W2170211850","https://openalex.org/W2293545290","https://openalex.org/W2748415341","https://openalex.org/W2895543640","https://openalex.org/W2902784465","https://openalex.org/W6639240478","https://openalex.org/W6640121589","https://openalex.org/W6697200246","https://openalex.org/W6756460015"],"related_works":["https://openalex.org/W3192662224","https://openalex.org/W131743439","https://openalex.org/W4389072666","https://openalex.org/W2887258823","https://openalex.org/W4300888463","https://openalex.org/W2998821156","https://openalex.org/W4226454644","https://openalex.org/W2949388105","https://openalex.org/W4379031451","https://openalex.org/W4324393778"],"abstract_inverted_index":{"The":[0,92,157],"Conceptor":[1,36],"network":[2,69],"is":[3,37],"a":[4,25,41,67,87,97,160],"newly":[5],"proposed":[6,106,170],"reservoir":[7,31,60,110,175],"computing":[8,53],"(RC)":[9],"model,":[10],"which":[11,15,45],"outperforms":[12],"traditional":[13,42],"classifiers,":[14],"can":[16],"fail":[17],"to":[18,82,153],"model":[19],"new":[20],"classes":[21],"of":[22,74,99,116,144,146],"data":[23],"for":[24,34],"supervised":[26],"learning":[27],"task.":[28],"However,":[29],"the":[30,35,59,105,113,126,134,141,147,169],"structure":[32],"design":[33,62],"single,":[38],"involving":[39],"just":[40],"random":[43],"network,":[44],"has":[46],"strong":[47],"coupling":[48],"between":[49],"nodes":[50],"and":[51,64,168],"limits":[52],"ability.":[54],"This":[55],"study":[56],"focused":[57],"on":[58],"topology":[61],"problem,":[63],"we":[65],"propose":[66],"complex":[68,84],"Conceptor-based":[70],"phase":[71,88,107,127,148,172],"space":[72,89,108,128,149,173],"reconstruction":[73,90,109,122,129,150,174],"time":[75],"series.":[76],"Several":[77],"dynamical":[78],"systems":[79],"were":[80],"chosen":[81],"build":[83],"networks":[85],"using":[86,96],"algorithm.":[91],"experiment":[93],"results":[94],"obtained":[95],"mix":[98],"two":[100],"irrational-period":[101],"sines":[102],"showed":[103,159],"that":[104],"topologies":[111],"with":[112,120,163],"appropriate":[114,142],"values":[115,143],"threshold":[117,145],"provide":[118],"Conceptors":[119],"extra":[121],"precision.":[123],"Among":[124],"them,":[125],"reservoir-based":[130],"Lorenz":[131,171],"system":[132],"shows":[133],"best":[135],"performance.":[136,156],"Further":[137],"experiments":[138],"also":[139],"identified":[140],"method":[151],"required":[152],"obtain":[154],"optimal":[155],"precision":[158],"non-linear":[161],"decline":[162],"increase":[164],"in":[165],"memory":[166,181],"load,":[167],"maintained":[176],"its":[177],"advantages":[178],"under":[179],"different":[180],"loads.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}