{"id":"https://openalex.org/W4385656552","doi":"https://doi.org/10.1109/tce.2023.3302852","title":"Design and Application of Adaptive Sparse Deep Echo State Network","display_name":"Design and Application of Adaptive Sparse Deep Echo State Network","publication_year":2023,"publication_date":"2023-08-08","ids":{"openalex":"https://openalex.org/W4385656552","doi":"https://doi.org/10.1109/tce.2023.3302852"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2023.3302852","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2023.3302852","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","raw_type":"journal-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/A5023835029","display_name":"Cuili Yang","orcid":"https://orcid.org/0000-0002-3524-8968"},"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"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cuili Yang","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing, China","Faculty of Information Technology, Beijing University of Technology, Beijing, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-3524-8968","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, P. R. China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102842655","display_name":"Sheng Yang","orcid":"https://orcid.org/0000-0003-1103-1120"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Yang","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing, China","Faculty of Information Technology, Beijing University of Technology, Beijing, P. R. China"],"raw_orcid":"https://orcid.org/0000-0003-1103-1120","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, P. R. China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050725783","display_name":"Jian Tang","orcid":"https://orcid.org/0000-0001-9658-209X"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Tang","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing, China","Faculty of Information Technology, Beijing University of Technology, Beijing, P. R. China"],"raw_orcid":"https://orcid.org/0000-0003-2270-268X","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, P. R. China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109346446","display_name":"Bing Li","orcid":"https://orcid.org/0000-0002-5888-6735"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Li","raw_affiliation_strings":["School of Economics, Wuhan University of Technology, Wuhan, China","School of Economics, Wuhan University of Technology, Wuhan, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"School of Economics, Wuhan University of Technology, Wuhan, P. R. China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5023835029"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":1.3633,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.84731264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"70","issue":"1","first_page":"3582","last_page":"3592"},"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":0.982200026512146,"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/T10320","display_name":"Neural Networks and Applications","score":0.965499997138977,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/echo-state-network","display_name":"Echo state network","score":0.7669376134872437},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6485748291015625},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6428115963935852},{"id":"https://openalex.org/keywords/echo","display_name":"Echo (communications protocol)","score":0.5716890692710876},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5619089007377625},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.5313646793365479},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.49235689640045166},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48136430978775024},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4790319502353668},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4749439060688019},{"id":"https://openalex.org/keywords/coordinate-descent","display_name":"Coordinate descent","score":0.4649661183357239},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4635578393936157},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.46124476194381714},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.45774027705192566},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3731813430786133},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3361867666244507},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.22610723972320557},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16292253136634827}],"concepts":[{"id":"https://openalex.org/C172025690","wikidata":"https://www.wikidata.org/wiki/Q5332763","display_name":"Echo state network","level":4,"score":0.7669376134872437},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6485748291015625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6428115963935852},{"id":"https://openalex.org/C2779426996","wikidata":"https://www.wikidata.org/wiki/Q18389128","display_name":"Echo (communications protocol)","level":2,"score":0.5716890692710876},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5619089007377625},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5313646793365479},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.49235689640045166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48136430978775024},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4790319502353668},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4749439060688019},{"id":"https://openalex.org/C157553263","wikidata":"https://www.wikidata.org/wiki/Q5168004","display_name":"Coordinate descent","level":2,"score":0.4649661183357239},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4635578393936157},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.46124476194381714},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.45774027705192566},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3731813430786133},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3361867666244507},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.22610723972320557},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16292253136634827},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2023.3302852","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2023.3302852","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G1880457144","display_name":null,"funder_award_id":"72004174","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6662533979","display_name":null,"funder_award_id":"61973010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8118471815","display_name":null,"funder_award_id":"4212032","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G8597615802","display_name":null,"funder_award_id":"62073006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2014594635","https://openalex.org/W2088597453","https://openalex.org/W2099144109","https://openalex.org/W2118706537","https://openalex.org/W2126082648","https://openalex.org/W2160952002","https://openalex.org/W2476751262","https://openalex.org/W2518638964","https://openalex.org/W2585502432","https://openalex.org/W2608997467","https://openalex.org/W2794357878","https://openalex.org/W2800936176","https://openalex.org/W2902756306","https://openalex.org/W2922461691","https://openalex.org/W2975924256","https://openalex.org/W2989738037","https://openalex.org/W3016711424","https://openalex.org/W3135706494","https://openalex.org/W3184431899","https://openalex.org/W4200099981","https://openalex.org/W4206745662","https://openalex.org/W4211051508","https://openalex.org/W4221004295","https://openalex.org/W4225116485","https://openalex.org/W4225413933","https://openalex.org/W4288786190","https://openalex.org/W4292826013","https://openalex.org/W4306803852"],"related_works":["https://openalex.org/W1473737476","https://openalex.org/W1975632186","https://openalex.org/W2117229703","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2531880140","https://openalex.org/W2949162897","https://openalex.org/W2561494732","https://openalex.org/W4390599063","https://openalex.org/W4403661568"],"abstract_inverted_index":{"The":[0,133],"prediction":[1,155],"of":[2,112,125],"appliances":[3,142],"energy":[4,143],"consumption":[5],"in":[6,40,57,136],"building":[7],"belongs":[8],"to":[9,25,75,94,108,129],"time":[10],"series":[11],"forecasting":[12],"problem,":[13,46],"which":[14,58],"can":[15],"be":[16],"solved":[17],"by":[18,64],"echo":[19,51,121],"state":[20,52,122],"network":[21,53,116],"(ESN).":[22],"However,":[23],"due":[24],"the":[26,47,59,67,77,84,96,101,110,120,147],"randomly":[27],"initialized":[28],"inputs":[29],"and":[30,140,157],"reservoir,":[31],"some":[32],"redundant":[33,78],"or":[34],"irrelevant":[35],"components":[36],"are":[37],"inevitably":[38],"generated":[39],"original":[41],"ESN.":[42],"To":[43],"solve":[44],"this":[45],"adaptive":[48,88,103],"sparse":[49,89,97],"deep":[50],"(ASDESN)":[54],"is":[55,61,73,92,106,127],"proposed,":[56],"information":[60],"processed":[62],"layer":[63,72],"layer.":[65],"Firstly,":[66],"principal":[68],"component":[69],"analysis":[70],"(PCA)":[71],"inserted":[74],"penalize":[76],"projection":[79],"transmitted":[80],"between":[81],"sub-reservoirs.":[82],"Secondly,":[83],"coordinate":[85],"descent":[86],"based":[87],"learning":[90],"method":[91],"proposed":[93,148],"generate":[95],"output":[98,113],"weights.":[99],"Particularly,":[100],"designed":[102],"threshold":[104],"strategy":[105],"able":[107],"enlarge":[109],"sparsity":[111],"weights":[114],"as":[115],"depth":[117],"increases.":[118],"Moreover,":[119],"property":[123],"(ESP)":[124],"ASDESN":[126,149],"given":[128],"ensure":[130],"its":[131],"applications.":[132],"experiment":[134],"results":[135],"both":[137],"simulated":[138],"benchmark":[139],"real":[141],"datasets":[144],"illustrate":[145],"that":[146],"outperforms":[150],"other":[151],"ESNs":[152],"with":[153],"higher":[154],"accuracy":[156],"stability.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}