{"id":"https://openalex.org/W2891964641","doi":"https://doi.org/10.1109/cscwd.2018.8465335","title":"Echo State Network with Multiple Loops Reservoir and its Application in Network Traffic Prediction","display_name":"Echo State Network with Multiple Loops Reservoir and its Application in Network Traffic Prediction","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2891964641","doi":"https://doi.org/10.1109/cscwd.2018.8465335","mag":"2891964641"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd.2018.8465335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd.2018.8465335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design ((CSCWD))","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/A5057561333","display_name":"Lijuan Sun","orcid":"https://orcid.org/0000-0002-5445-2905"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lijuan Sun","raw_affiliation_strings":["College of Computer, Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer, Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101615756","display_name":"Xinyan Yang","orcid":"https://orcid.org/0009-0000-4317-3217"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xinyan Yang","raw_affiliation_strings":["College of Computer, Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer, Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101807248","display_name":"Jian Zhou","orcid":"https://orcid.org/0000-0002-5489-7744"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jian Zhou","raw_affiliation_strings":["College of Computer, Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer, Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100347493","display_name":"Juan Wang","orcid":"https://orcid.org/0000-0003-4291-177X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Juan Wang","raw_affiliation_strings":["College of Computer, Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer, Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100602821","display_name":"Fu Xiao","orcid":"https://orcid.org/0000-0003-1815-2793"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fu Xiao","raw_affiliation_strings":["College of Computer, Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer, Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"86","issue":null,"first_page":"689","last_page":"694"},"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":0.9973999857902527,"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":0.993399977684021,"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":0.9443366527557373},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.7701291441917419},{"id":"https://openalex.org/keywords/reservoir-computing","display_name":"Reservoir computing","score":0.7074512839317322},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6586055755615234},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.6063489317893982},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5724445581436157},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5132570266723633},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4707002639770508},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.46337902545928955},{"id":"https://openalex.org/keywords/echo","display_name":"Echo (communications protocol)","score":0.4558575749397278},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44837698340415955},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4470759928226471},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3882913589477539},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3516773581504822},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30919909477233887},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19126880168914795},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10275775194168091}],"concepts":[{"id":"https://openalex.org/C172025690","wikidata":"https://www.wikidata.org/wiki/Q5332763","display_name":"Echo state network","level":4,"score":0.9443366527557373},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.7701291441917419},{"id":"https://openalex.org/C135796866","wikidata":"https://www.wikidata.org/wiki/Q7315328","display_name":"Reservoir computing","level":4,"score":0.7074512839317322},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6586055755615234},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6063489317893982},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5724445581436157},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5132570266723633},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4707002639770508},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.46337902545928955},{"id":"https://openalex.org/C2779426996","wikidata":"https://www.wikidata.org/wiki/Q18389128","display_name":"Echo (communications protocol)","level":2,"score":0.4558575749397278},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44837698340415955},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4470759928226471},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3882913589477539},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3516773581504822},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30919909477233887},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19126880168914795},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10275775194168091},{"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/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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd.2018.8465335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd.2018.8465335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design ((CSCWD))","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":13,"referenced_works":["https://openalex.org/W1036981403","https://openalex.org/W1522456329","https://openalex.org/W1964709052","https://openalex.org/W2010974764","https://openalex.org/W2011030767","https://openalex.org/W2118706537","https://openalex.org/W2125370892","https://openalex.org/W2159682675","https://openalex.org/W2187224205","https://openalex.org/W2734413262","https://openalex.org/W2734643636","https://openalex.org/W6626807407","https://openalex.org/W6740808714"],"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":{"Echo":[0],"state":[1],"network":[2,12,118],"(ESN),":[3],"which":[4],"was":[5],"proposed":[6],"as":[7,157],"a":[8,57],"novel":[9,58,89],"recurrent":[10],"neural":[11,25],"(RNN),":[13],"has":[14],"already":[15],"been":[16],"proved":[17],"to":[18,67,117,125],"exhibit":[19],"better":[20],"prediction":[21,127,135,140,154],"ability":[22,105],"than":[23],"traditional":[24],"networks":[26],"in":[27,74,97],"dealing":[28],"with":[29,60,81],"time":[30],"series":[31],"prediction.":[32,51,120],"However,":[33],"ESN's":[34],"randomly":[35],"generated":[36],"reservoir":[37,64,73,85,90,99],"structure":[38,65,86,91],"is":[39,115],"of":[40,49,71,95,106,148,150,161,167],"high":[41],"complexity":[42],"and":[43,100,137,164],"can":[44,132],"not":[45],"guarantee":[46],"the":[47,50,69,72,75,82,88,93,98,102,146,153,158,165],"stability":[48],"In":[52,78],"this":[53],"paper,":[54],"we":[55,143],"propose":[56],"ESN":[59,114],"deterministic":[61],"multiple":[62,162],"loops":[63,163],"(MLR)":[66],"avoid":[68],"randomness":[70],"classic":[76],"ESN.":[77,107],"addition,":[79],"compared":[80],"adjacent-feedback":[83],"loop":[84],"(ALR),":[87],"strengthens":[92],"connection":[94],"neurons":[96],"improves":[101],"nonlinear":[103],"approximation":[104],"To":[108],"test":[109],"its":[110],"performance,":[111],"our":[112],"MLR-based":[113],"applied":[116],"traffic":[119],"Extensive":[121],"simulation":[122],"results":[123],"regarding":[124],"different":[126],"steps":[128],"demonstrate":[129],"that":[130],"MLR":[131,151],"achieve":[133],"higher":[134],"accuracy,":[136,155],"outperform":[138],"existing":[139],"models.":[141],"Furthermore,":[142],"also":[144],"analyze":[145],"influence":[147],"parameters":[149],"on":[152],"such":[156],"neuronal":[159],"interval":[160],"number":[166],"loops.":[168]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
