{"id":"https://openalex.org/W2314582146","doi":"https://doi.org/10.1109/tnnls.2016.2514275","title":"Growing Echo-State Network With Multiple Subreservoirs","display_name":"Growing Echo-State Network With Multiple Subreservoirs","publication_year":2016,"publication_date":"2016-01-19","ids":{"openalex":"https://openalex.org/W2314582146","doi":"https://doi.org/10.1109/tnnls.2016.2514275","mag":"2314582146","pmid":"https://pubmed.ncbi.nlm.nih.gov/26800553"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2016.2514275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2016.2514275","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5055432844","display_name":"Junfei Qiao","orcid":"https://orcid.org/0000-0002-1707-6074"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junfei Qiao","raw_affiliation_strings":["Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China","College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China","institution_ids":["https://openalex.org/I4210100255"]},{"raw_affiliation_string":"College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064384493","display_name":"Fanjun Li","orcid":"https://orcid.org/0000-0002-7303-7002"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanjun Li","raw_affiliation_strings":["Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China","College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China","institution_ids":["https://openalex.org/I4210100255"]},{"raw_affiliation_string":"College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072240057","display_name":"Honggui Han","orcid":"https://orcid.org/0000-0001-5617-4075"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honggui Han","raw_affiliation_strings":["Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China","College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China","institution_ids":["https://openalex.org/I4210100255"]},{"raw_affiliation_string":"College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100442655","display_name":"Wenjing Li","orcid":"https://orcid.org/0000-0002-1353-092X"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]},{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjing Li","raw_affiliation_strings":["Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China","College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China","School of Mathematical Science, University of Jinan, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China","institution_ids":["https://openalex.org/I4210100255"]},{"raw_affiliation_string":"College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"School of Mathematical Science, University of Jinan, Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":22.9655,"has_fulltext":false,"cited_by_count":194,"citation_normalized_percentile":{"value":0.99413818,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"28","issue":"2","first_page":"391","last_page":"404"},"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":0.9972000122070312,"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/T10232","display_name":"Optical Network Technologies","score":0.9914000034332275,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/echo-state-network","display_name":"Echo state network","score":0.8340545892715454},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.7459874153137207},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.708236575126648},{"id":"https://openalex.org/keywords/echo","display_name":"Echo (communications protocol)","score":0.5977163314819336},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.5611401200294495},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5470781922340393},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5191799402236938},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.4894210398197174},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4596213400363922},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.4290532171726227},{"id":"https://openalex.org/keywords/reservoir-computing","display_name":"Reservoir computing","score":0.41352778673171997},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4132731854915619},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4117332398891449},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4077361524105072},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.38891467452049255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30417871475219727},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.17396607995033264},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16068539023399353},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08372920751571655}],"concepts":[{"id":"https://openalex.org/C172025690","wikidata":"https://www.wikidata.org/wiki/Q5332763","display_name":"Echo state network","level":4,"score":0.8340545892715454},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.7459874153137207},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.708236575126648},{"id":"https://openalex.org/C2779426996","wikidata":"https://www.wikidata.org/wiki/Q18389128","display_name":"Echo (communications protocol)","level":2,"score":0.5977163314819336},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.5611401200294495},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5470781922340393},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5191799402236938},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.4894210398197174},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4596213400363922},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.4290532171726227},{"id":"https://openalex.org/C135796866","wikidata":"https://www.wikidata.org/wiki/Q7315328","display_name":"Reservoir computing","level":4,"score":0.41352778673171997},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4132731854915619},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4117332398891449},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4077361524105072},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.38891467452049255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30417871475219727},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.17396607995033264},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16068539023399353},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08372920751571655},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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":2,"locations":[{"id":"doi:10.1109/tnnls.2016.2514275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2016.2514275","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:26800553","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26800553","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1279992331","display_name":null,"funder_award_id":"2014M550017","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G1546127092","display_name":null,"funder_award_id":"km201410005001","funder_id":"https://openalex.org/F4320321793","funder_display_name":"Beijing Municipal Education Commission"},{"id":"https://openalex.org/G1585048772","display_name":null,"funder_award_id":"KZ201410005002","funder_id":"https://openalex.org/F4320321793","funder_display_name":"Beijing Municipal Education Commission"},{"id":"https://openalex.org/G1632098369","display_name":null,"funder_award_id":"61225016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1933906510","display_name":null,"funder_award_id":"61533002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G384108379","display_name":null,"funder_award_id":"2015M57091","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5412958955","display_name":null,"funder_award_id":"Z141100001414005","funder_id":"https://openalex.org/F4320323107","funder_display_name":"Beijing Council of Science and Technology"},{"id":"https://openalex.org/G5966535569","display_name":null,"funder_award_id":"61203099","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7387097059","display_name":null,"funder_award_id":"002000514315501","funder_id":"https://openalex.org/F4320321913","funder_display_name":"Beijing University of Technology"},{"id":"https://openalex.org/G7628528003","display_name":null,"funder_award_id":"20131103110016","funder_id":"https://openalex.org/F4320321408","funder_display_name":"Ministry of Education"},{"id":"https://openalex.org/G8000545291","display_name":null,"funder_award_id":"Z131104000413007","funder_id":"https://openalex.org/F4320334978","funder_display_name":"Beijing Nova Program"},{"id":"https://openalex.org/G8051537428","display_name":null,"funder_award_id":"2014ZZ-8","funder_id":"https://openalex.org/F4320323068","funder_display_name":"Beijing Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321408","display_name":"Ministry of Education","ror":"https://ror.org/01p262204"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320321793","display_name":"Beijing Municipal Education Commission","ror":"https://ror.org/04bpn6s66"},{"id":"https://openalex.org/F4320321913","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87"},{"id":"https://openalex.org/F4320323068","display_name":"Beijing Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320323107","display_name":"Beijing Council of Science and Technology","ror":"https://ror.org/034k14f91"},{"id":"https://openalex.org/F4320334978","display_name":"Beijing Nova Program","ror":"https://ror.org/034k14f91"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1565746575","https://openalex.org/W1815076433","https://openalex.org/W1970396034","https://openalex.org/W1984516841","https://openalex.org/W1989312953","https://openalex.org/W2001263627","https://openalex.org/W2007123500","https://openalex.org/W2022175477","https://openalex.org/W2024450772","https://openalex.org/W2026475322","https://openalex.org/W2029967456","https://openalex.org/W2037024114","https://openalex.org/W2041645455","https://openalex.org/W2046509362","https://openalex.org/W2058804598","https://openalex.org/W2074477564","https://openalex.org/W2090292563","https://openalex.org/W2096987757","https://openalex.org/W2102385858","https://openalex.org/W2104714048","https://openalex.org/W2107878631","https://openalex.org/W2111072639","https://openalex.org/W2118706537","https://openalex.org/W2124349412","https://openalex.org/W2131249591","https://openalex.org/W2134396573","https://openalex.org/W2139287577","https://openalex.org/W2146174597","https://openalex.org/W2159682675","https://openalex.org/W2169976759","https://openalex.org/W2170262723","https://openalex.org/W2171865010","https://openalex.org/W2177933918","https://openalex.org/W2252143850","https://openalex.org/W2291685284","https://openalex.org/W2342641844","https://openalex.org/W2620828027","https://openalex.org/W6638545294","https://openalex.org/W6697248373","https://openalex.org/W7025107196"],"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/W4205591045","https://openalex.org/W2903992663","https://openalex.org/W4237814686","https://openalex.org/W4312493334","https://openalex.org/W2997427060"],"abstract_inverted_index":{"An":[0],"echo-state":[1],"network":[2],"(ESN)":[3],"is":[4,18,43,92,139,144],"an":[5,130],"effective":[6],"alternative":[7],"to":[8,20,30,45,65,69,78],"gradient":[9],"methods":[10],"for":[11],"training":[12],"recurrent":[13],"neural":[14],"network.":[15],"However,":[16],"it":[17],"difficult":[19],"determine":[21],"the":[22,25,28,33,47,52,56,61,70,90,102,106,112,116,119,121,125,134,137,142,157],"structure":[23],"(mainly":[24],"reservoir)":[26],"of":[27,51,60,105,111,118,124,136],"ESN":[29,41,107],"match":[31],"with":[32,81,94,171],"given":[34],"application.":[35],"In":[36],"this":[37],"paper,":[38],"a":[39,79,95],"growing":[40],"(GESN)":[42],"proposed":[44,158],"design":[46],"size":[48],"and":[49,149,164,174],"topology":[50],"reservoir":[53,72],"automatically.":[54],"First,":[55],"GESN":[57,80,91,126,138,143,159],"makes":[58],"use":[59],"block":[62],"matrix":[63,88],"theory":[64],"add":[66],"hidden":[67],"units":[68],"existing":[71],"group":[73],"by":[74],"group,":[75],"which":[76,100],"leads":[77],"multiple":[82],"subreservoirs.":[83],"Second,":[84],"every":[85],"subreservoir":[86],"weight":[87],"in":[89,129],"created":[93],"predefined":[96],"singular":[97],"value":[98],"spectrum,":[99],"ensures":[101],"echo-sate":[103],"property":[104],"without":[108],"posterior":[109],"scaling":[110],"weights.":[113],"Third,":[114],"during":[115],"growth":[117],"network,":[120],"output":[122],"weights":[123],"are":[127],"updated":[128],"incremental":[131],"way.":[132],"Moreover,":[133],"convergence":[135],"proved.":[140],"Finally,":[141],"tested":[145],"on":[146],"some":[147,169],"artificial":[148],"real-world":[150],"time-series":[151],"benchmarks.":[152],"Simulation":[153],"results":[154],"show":[155],"that":[156],"has":[160],"better":[161],"prediction":[162],"performance":[163],"faster":[165],"leaning":[166],"speed":[167],"than":[168],"ESNs":[170],"fixed":[172],"sizes":[173],"topologies.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":35},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":24},{"year":2019,"cited_by_count":24},{"year":2018,"cited_by_count":19},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}