{"id":"https://openalex.org/W4205631599","doi":"https://doi.org/10.1109/smc52423.2021.9659012","title":"Effect of Neural Decay Factors on Prediction Performance in Chaotic Echo State Networks","display_name":"Effect of Neural Decay Factors on Prediction Performance in Chaotic Echo State Networks","publication_year":2021,"publication_date":"2021-10-17","ids":{"openalex":"https://openalex.org/W4205631599","doi":"https://doi.org/10.1109/smc52423.2021.9659012"},"language":"en","primary_location":{"id":"doi:10.1109/smc52423.2021.9659012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc52423.2021.9659012","pdf_url":null,"source":{"id":"https://openalex.org/S4363607761","display_name":"2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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":"2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5037810435","display_name":"Yudai Ebato","orcid":null},"institutions":[{"id":"https://openalex.org/I8488066","display_name":"Chiba Institute of Technology","ror":"https://ror.org/00qwnam72","country_code":"JP","type":"education","lineage":["https://openalex.org/I8488066"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yudai Ebato","raw_affiliation_strings":["Chiba Institute of Technology, Chiba, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chiba Institute of Technology, Chiba, Japan","institution_ids":["https://openalex.org/I8488066"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014663937","display_name":"Sou Nobukawa","orcid":"https://orcid.org/0000-0001-7003-6912"},"institutions":[{"id":"https://openalex.org/I8488066","display_name":"Chiba Institute of Technology","ror":"https://ror.org/00qwnam72","country_code":"JP","type":"education","lineage":["https://openalex.org/I8488066"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sou Nobukawa","raw_affiliation_strings":["Chiba Institute of Technology, Chiba, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chiba Institute of Technology, Chiba, Japan","institution_ids":["https://openalex.org/I8488066"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022478812","display_name":"H. Nishimura","orcid":"https://orcid.org/0000-0003-1572-6747"},"institutions":[{"id":"https://openalex.org/I180941496","display_name":"University of Hyogo","ror":"https://ror.org/0151bmh98","country_code":"JP","type":"education","lineage":["https://openalex.org/I180941496"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Haruhiko Nishimura","raw_affiliation_strings":["Graduate School of Applied Informatics, University of Hyogo, Kobe, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Applied Informatics, University of Hyogo, Kobe, Japan","institution_ids":["https://openalex.org/I180941496"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"148","issue":null,"first_page":"1888","last_page":"1893"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":1.0,"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":1.0,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9911999702453613,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reservoir-computing","display_name":"Reservoir computing","score":0.9581905603408813},{"id":"https://openalex.org/keywords/echo-state-network","display_name":"Echo state network","score":0.9190102815628052},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.7828528881072998},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7089925408363342},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6591497659683228},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6395115852355957},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5318215489387512},{"id":"https://openalex.org/keywords/echo","display_name":"Echo (communications protocol)","score":0.5005035400390625},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.458213746547699},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4294828772544861},{"id":"https://openalex.org/keywords/logistic-function","display_name":"Logistic function","score":0.4127275347709656},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2313912808895111},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22304388880729675}],"concepts":[{"id":"https://openalex.org/C135796866","wikidata":"https://www.wikidata.org/wiki/Q7315328","display_name":"Reservoir computing","level":4,"score":0.9581905603408813},{"id":"https://openalex.org/C172025690","wikidata":"https://www.wikidata.org/wiki/Q5332763","display_name":"Echo state network","level":4,"score":0.9190102815628052},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.7828528881072998},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7089925408363342},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6591497659683228},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6395115852355957},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5318215489387512},{"id":"https://openalex.org/C2779426996","wikidata":"https://www.wikidata.org/wiki/Q18389128","display_name":"Echo (communications protocol)","level":2,"score":0.5005035400390625},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.458213746547699},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4294828772544861},{"id":"https://openalex.org/C180802074","wikidata":"https://www.wikidata.org/wiki/Q1052379","display_name":"Logistic function","level":2,"score":0.4127275347709656},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2313912808895111},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22304388880729675},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc52423.2021.9659012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc52423.2021.9659012","pdf_url":null,"source":{"id":"https://openalex.org/S4363607761","display_name":"2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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":"2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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":23,"referenced_works":["https://openalex.org/W137851917","https://openalex.org/W1498436455","https://openalex.org/W1820016683","https://openalex.org/W1989312953","https://openalex.org/W2001263627","https://openalex.org/W2015689071","https://openalex.org/W2016589492","https://openalex.org/W2037024114","https://openalex.org/W2042489792","https://openalex.org/W2057755457","https://openalex.org/W2086375199","https://openalex.org/W2094631910","https://openalex.org/W2103179919","https://openalex.org/W2150355110","https://openalex.org/W2171865010","https://openalex.org/W2477329675","https://openalex.org/W2525828126","https://openalex.org/W2887258823","https://openalex.org/W2908731397","https://openalex.org/W2970218839","https://openalex.org/W2979157974","https://openalex.org/W4292880809","https://openalex.org/W6945068569"],"related_works":["https://openalex.org/W57315087","https://openalex.org/W2010974764","https://openalex.org/W4386848428","https://openalex.org/W4205631599","https://openalex.org/W2021379535","https://openalex.org/W2020067398","https://openalex.org/W2967225774","https://openalex.org/W2903992663","https://openalex.org/W4237814686","https://openalex.org/W2997427060"],"abstract_inverted_index":{"An":[0],"echo":[1],"state":[2],"network":[3,26,145],"(ESN)":[4],"is":[5,23,180],"a":[6,15,18,24,39,48,139,142,151,161],"reservoir":[7,22,140,172,187],"computing":[8],"framework":[9],"consisting":[10],"of":[11,57,65,85,95,98,109,120,135,170],"an":[12,136],"input":[13],"layer,":[14],"reservoir,":[16,32],"and":[17,102],"readout":[19],"layer.":[20],"A":[21],"recursive":[25],"comprising":[27,122,141],"neuron":[28],"models.":[29],"In":[30,87],"the":[31,54,82,93,96,106,118,133,167,171],"various":[33],"models":[34],"use":[35],"analog":[36,61],"neurons":[37,62,111],"with":[38],"logistic":[40],"output":[41],"function.":[42],"Time-series":[43],"learning":[44],"for":[45,52,116],"ESNs":[46,121],"requires":[47],"high":[49,157],"memory":[50,83,158],"capacity":[51,84,159],"storing":[53,66],"historical":[55,72],"information":[56,73],"past":[58],"inputs.":[59],"However,":[60],"are":[63],"incapable":[64],"time":[67],"history":[68],"by":[69,75],"themselves.":[70],"Therefore,":[71,126],"gained":[74],"introducing":[76],"internal":[77],"neural":[78,124,144],"dynamics":[79],"can":[80,112],"enhance":[81],"ESNs.":[86],"this":[88,129],"context,":[89],"we":[90,131],"hypothesized":[91],"that":[92],"evaluation":[94],"functions":[97],"internal-neural":[99],"decay":[100,107],"factors":[101,108],"optimal":[103],"balances":[104],"between":[105],"chaotic":[110,123,143],"provide":[113],"useful":[114],"results":[115],"improving":[117],"performance":[119,134],"networks.":[125],"to":[127,155,182],"validate":[128],"hypothesis,":[130],"investigated":[132],"ESN":[137,153],"using":[138],"(ChESN).":[146],"The":[147,177],"ChESN":[148],"significantly":[149],"outperformed":[150],"conventional":[152],"owing":[154],"its":[156],"at":[160],"large":[162],"temporal":[163],"scale,":[164],"even":[165],"when":[166],"spectral":[168],"radius":[169],"synaptic":[173],"weight":[174],"was":[175],"small.":[176],"proposed":[178],"approach":[179],"expected":[181],"have":[183],"wide":[184],"applications":[185],"in":[186],"computing.":[188]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}