{"id":"https://openalex.org/W4411232043","doi":"https://doi.org/10.1109/tii.2025.3575101","title":"Continual Semisupervised Learning of Echo State Network for Quality Prediction of Multimode Processes","display_name":"Continual Semisupervised Learning of Echo State Network for Quality Prediction of Multimode Processes","publication_year":2025,"publication_date":"2025-06-12","ids":{"openalex":"https://openalex.org/W4411232043","doi":"https://doi.org/10.1109/tii.2025.3575101"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2025.3575101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3575101","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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/A5041105948","display_name":"Chao Yang","orcid":"https://orcid.org/0000-0003-0917-5256"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Yang","raw_affiliation_strings":["State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, Liaoning, China"],"raw_orcid":"https://orcid.org/0000-0003-0917-5256","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057648803","display_name":"Qiang Liu","orcid":"https://orcid.org/0000-0003-1037-2185"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Liu","raw_affiliation_strings":["State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, Liaoning, China"],"raw_orcid":"https://orcid.org/0000-0003-1037-2185","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100739893","display_name":"Yi Liu","orcid":"https://orcid.org/0000-0002-4066-689X"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Liu","raw_affiliation_strings":["Institute of Process Equipment and Control Engineering, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4066-689X","affiliations":[{"raw_affiliation_string":"Institute of Process Equipment and Control Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038516431","display_name":"Yiu\u2010ming Cheung","orcid":"https://orcid.org/0000-0001-7629-4648"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yiu-Ming Cheung","raw_affiliation_strings":["Department of Computer Science, Hong Kong Baptist University, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-7629-4648","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong, China","institution_ids":["https://openalex.org/I141568987"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.396,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.84125788,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"21","issue":"9","first_page":"7209","last_page":"7219"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9965000152587891,"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":0.9965000152587891,"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":0.9948999881744385,"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":0.9458000063896179,"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/computer-science","display_name":"Computer science","score":0.598797082901001},{"id":"https://openalex.org/keywords/echo","display_name":"Echo (communications protocol)","score":0.5499524474143982},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5353944897651672},{"id":"https://openalex.org/keywords/echo-state-network","display_name":"Echo state network","score":0.4776628911495209},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.47614312171936035},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.42917728424072266},{"id":"https://openalex.org/keywords/multi-mode-optical-fiber","display_name":"Multi-mode optical fiber","score":0.41918861865997314},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4181394875049591},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39447176456451416},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3652260899543762},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.33238744735717773},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19514328241348267},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17612791061401367},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.17535334825515747},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.14081346988677979},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1272253692150116},{"id":"https://openalex.org/keywords/optical-fiber","display_name":"Optical fiber","score":0.10778558254241943}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.598797082901001},{"id":"https://openalex.org/C2779426996","wikidata":"https://www.wikidata.org/wiki/Q18389128","display_name":"Echo (communications protocol)","level":2,"score":0.5499524474143982},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5353944897651672},{"id":"https://openalex.org/C172025690","wikidata":"https://www.wikidata.org/wiki/Q5332763","display_name":"Echo state network","level":4,"score":0.4776628911495209},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.47614312171936035},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.42917728424072266},{"id":"https://openalex.org/C101645829","wikidata":"https://www.wikidata.org/wiki/Q1781857","display_name":"Multi-mode optical fiber","level":3,"score":0.41918861865997314},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4181394875049591},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39447176456451416},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3652260899543762},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.33238744735717773},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19514328241348267},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17612791061401367},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.17535334825515747},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14081346988677979},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1272253692150116},{"id":"https://openalex.org/C194232370","wikidata":"https://www.wikidata.org/wiki/Q162","display_name":"Optical fiber","level":2,"score":0.10778558254241943},{"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/tii.2025.3575101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3575101","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2407125372","display_name":null,"funder_award_id":"U20A20189","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3363133847","display_name":null,"funder_award_id":"202306440060","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G457534570","display_name":null,"funder_award_id":"U23A20328","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7394171745","display_name":null,"funder_award_id":"62161160338","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8012131583","display_name":null,"funder_award_id":"61991401","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/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W567350711","https://openalex.org/W1996139334","https://openalex.org/W2040531923","https://openalex.org/W2201252546","https://openalex.org/W2325610192","https://openalex.org/W2522640709","https://openalex.org/W2560647685","https://openalex.org/W2787295326","https://openalex.org/W2788388592","https://openalex.org/W2792568620","https://openalex.org/W2886613299","https://openalex.org/W2899352396","https://openalex.org/W2919235887","https://openalex.org/W2920714358","https://openalex.org/W2932473677","https://openalex.org/W2984353870","https://openalex.org/W3030364939","https://openalex.org/W3035753075","https://openalex.org/W3036354513","https://openalex.org/W3048941751","https://openalex.org/W3092838682","https://openalex.org/W3097816393","https://openalex.org/W3120987150","https://openalex.org/W3123899295","https://openalex.org/W3136823424","https://openalex.org/W3164130917","https://openalex.org/W3174917907","https://openalex.org/W4206279568","https://openalex.org/W4210475534","https://openalex.org/W4285058963","https://openalex.org/W4288771029","https://openalex.org/W4312678682","https://openalex.org/W4321485093","https://openalex.org/W4361856754","https://openalex.org/W4366464209","https://openalex.org/W4378472924","https://openalex.org/W4378506766","https://openalex.org/W4382239155","https://openalex.org/W4387587589","https://openalex.org/W4389610075","https://openalex.org/W4392432799","https://openalex.org/W4401793915"],"related_works":["https://openalex.org/W1473737476","https://openalex.org/W2949162897","https://openalex.org/W2061432289","https://openalex.org/W2276571074","https://openalex.org/W3216623288","https://openalex.org/W2351280436","https://openalex.org/W3090936158","https://openalex.org/W57315087","https://openalex.org/W4390599063","https://openalex.org/W4403661568"],"abstract_inverted_index":{"The":[0,104,163],"successive":[1,159],"switching":[2],"nature":[3],"of":[4,19,43,51,138,158,167],"multimode":[5],"processes,":[6],"coupled":[7],"with":[8],"data":[9,148],"scarcity,":[10],"challenges":[11],"traditional":[12],"quality":[13],"prediction":[14],"models.":[15],"Specifically,":[16],"the":[17,29,41,49,90,136,168,177,182],"difficulty":[18],"simultaneously":[20],"collecting":[21],"abundant":[22],"labeled":[23],"datasets":[24],"from":[25,98,131,147],"all":[26],"modes":[27,36],"forces":[28],"model":[30,109],"to":[31,40,94,176],"update":[32],"its":[33,174],"parameters":[34],"as":[35],"switch.":[37],"This":[38,142],"leads":[39],"forgetting":[42],"historical":[44],"mode":[45],"knowledge":[46],"and":[47,150,153,165,181],"hinders":[48],"aggregation":[50],"knowledge,":[52],"thereby":[53],"degrading":[54],"generalization":[55],"across":[56],"modes.":[57,162],"To":[58],"this":[59],"end,":[60],"we":[61],"propose":[62],"a":[63,76,113],"novel":[64],"continual":[65,114],"semisupervised":[66,77],"graph":[67,78,91],"echo":[68,79],"state":[69,80],"network":[70,81],"(<inline-formula":[71,82],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[72,83,106,117],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[73,84,107,118],"notation=\"LaTeX\">$\\text{CS}^{2}$</tex-math></inline-formula>GESN).":[74],"First,":[75],"notation=\"LaTeX\">$\\text{S}^{2}$</tex-math></inline-formula>GESN)":[85],"is":[86],"designed":[87],"based":[88],"on":[89],"smoothing":[92],"assumption":[93],"extract":[95],"dynamic":[96],"information":[97,151],"unlabeled":[99],"samples":[100],"within":[101],"each":[102],"mode.":[103],"<inline-formula":[105,116],"notation=\"LaTeX\">$\\text{S}^{2}$</tex-math></inline-formula>GESN":[108],"then":[110],"evolves":[111],"into":[112],"model,":[115],"notation=\"LaTeX\">$\\text{CS}^{2}$</tex-math></inline-formula>GESN,":[119],"employing":[120],"an":[121],"elastic":[122],"weight":[123],"consolidation":[124],"strategy":[125],"for":[126],"parameter":[127,133],"importance":[128],"estimation":[129],"derived":[130],"pseudoinverse":[132],"optimization,":[134],"facilitating":[135],"accumulation":[137],"historically":[139],"learned":[140],"knowledge.":[141],"manner":[143],"alleviates":[144],"performance":[145],"deterioration":[146],"scarcity":[149],"forgetting,":[152],"enables":[154],"more":[155],"flexible":[156],"modeling":[157],"arriving":[160],"operating":[161],"superiority":[164],"feasibility":[166],"proposed":[169],"method":[170],"are":[171],"demonstrated":[172],"through":[173],"application":[175],"Tennessee":[178],"Eastman":[179],"process":[180],"three-phase":[183],"flow":[184],"facility":[185],"process.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}