{"id":"https://openalex.org/W4388407714","doi":"https://doi.org/10.1109/tim.2023.3329099","title":"Input Variable Selection and Structure Optimization for LSTM-Based Soft Sensor With a Dual Nonnegative Garrote Approach","display_name":"Input Variable Selection and Structure Optimization for LSTM-Based Soft Sensor With a Dual Nonnegative Garrote Approach","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4388407714","doi":"https://doi.org/10.1109/tim.2023.3329099"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3329099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3329099","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5026012846","display_name":"Lin Sui","orcid":"https://orcid.org/0000-0002-6565-0245"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lin Sui","raw_affiliation_strings":["School of Internet of Things Engineering, Jiangnan University, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"School of Internet of Things Engineering, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066580707","display_name":"Kai Sun","orcid":"https://orcid.org/0000-0002-9482-470X"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Sun","raw_affiliation_strings":["School of Electrical Engineering and Automation, Shandong Academy of Sciences, Qilu University of Technology, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Shandong Academy of Sciences, Qilu University of Technology, Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002029078","display_name":"Junxia Ma","orcid":"https://orcid.org/0000-0002-0151-3188"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junxia Ma","raw_affiliation_strings":["School of Internet of Things Engineering, Jiangnan University, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"School of Internet of Things Engineering, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068622474","display_name":"Jiayu Wang","orcid":"https://orcid.org/0000-0002-9766-9215"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayu Wang","raw_affiliation_strings":["School of Internet of Things Engineering, Jiangnan University, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"School of Internet of Things Engineering, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032634509","display_name":"Weili Xiong","orcid":"https://orcid.org/0000-0002-9427-8809"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weili Xiong","raw_affiliation_strings":["School of Internet of Things Engineering, Jiangnan University, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"School of Internet of Things Engineering, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5026012846"],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":null,"apc_paid":null,"fwci":2.9258,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.91278901,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"72","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.9832000136375427,"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/overfitting","display_name":"Overfitting","score":0.6565939784049988},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6034640669822693},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5670768618583679},{"id":"https://openalex.org/keywords/soft-sensor","display_name":"Soft sensor","score":0.5277151465415955},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.500241756439209},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4827924966812134},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.44683247804641724},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41321492195129395},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4027458131313324},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37764042615890503},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3428480327129364},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3354758620262146},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.33184292912483215},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18262630701065063},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.14020341634750366}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.6565939784049988},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6034640669822693},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5670768618583679},{"id":"https://openalex.org/C115575686","wikidata":"https://www.wikidata.org/wiki/Q18822403","display_name":"Soft sensor","level":3,"score":0.5277151465415955},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.500241756439209},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4827924966812134},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.44683247804641724},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41321492195129395},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4027458131313324},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37764042615890503},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3428480327129364},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3354758620262146},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.33184292912483215},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18262630701065063},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14020341634750366},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2023.3329099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3329099","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G283044312","display_name":null,"funder_award_id":"B12018","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G3396620864","display_name":null,"funder_award_id":"61773182","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7765561596","display_name":null,"funder_award_id":"62003300","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/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1981780459","https://openalex.org/W2006170764","https://openalex.org/W2014828134","https://openalex.org/W2062368510","https://openalex.org/W2064638450","https://openalex.org/W2095705004","https://openalex.org/W2098749003","https://openalex.org/W2325533533","https://openalex.org/W2772343646","https://openalex.org/W2797790703","https://openalex.org/W2920714358","https://openalex.org/W2995696070","https://openalex.org/W3015050543","https://openalex.org/W3015966228","https://openalex.org/W3016077482","https://openalex.org/W3044668092","https://openalex.org/W3048582611","https://openalex.org/W3087877141","https://openalex.org/W3118694186","https://openalex.org/W3153850152","https://openalex.org/W3171438403","https://openalex.org/W3192005404","https://openalex.org/W3215008223","https://openalex.org/W3217429229","https://openalex.org/W4214676882","https://openalex.org/W4224027514","https://openalex.org/W4225381386","https://openalex.org/W4226519495","https://openalex.org/W4226524807","https://openalex.org/W4238943743","https://openalex.org/W4246226690","https://openalex.org/W4285058963","https://openalex.org/W4292736944","https://openalex.org/W4292970623","https://openalex.org/W4310817950","https://openalex.org/W4310837319","https://openalex.org/W4317515511","https://openalex.org/W4368232735","https://openalex.org/W4382568069","https://openalex.org/W4386918906","https://openalex.org/W6631190155","https://openalex.org/W6674330103"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4298369531","https://openalex.org/W3155135229","https://openalex.org/W4295122168","https://openalex.org/W3155717344","https://openalex.org/W1770458422","https://openalex.org/W2156571267"],"abstract_inverted_index":{"Soft":[0],"sensor,":[1],"as":[2],"a":[3,67,76,171,193],"significant":[4],"intelligent":[5],"inspection":[6],"technology,":[7],"has":[8],"been":[9],"widely":[10],"used":[11],"in":[12,33,40,186],"modern":[13],"process":[14,36,85],"industries":[15],"to":[16,87,106,140,166,176],"achieve":[17],"effective":[18],"monitoring":[19],"and":[20,31,44,55,113,128,174,210],"prediction":[21,218],"of":[22,28,93,110,148,192],"product":[23],"quality.":[24],"However,":[25],"the":[26,84,89,94,98,104,108,120,126,131,146,149,161,178,187,203,212],"redundancy":[27,109],"model":[29,46,80,142,150,213],"inputs":[30],"structure":[32,56,133,214],"practical":[34],"industrial":[35,95],"modeling":[37,42],"usually":[38],"results":[39,200],"increased":[41],"complexity":[43],"decreased":[45],"performance.":[47],"In":[48],"this":[49],"study,":[50],"an":[51],"input":[52,111,123],"variable":[53],"selection":[54],"optimization":[57],"algorithm":[58,100,163,205],"for":[59,125],"long":[60],"short-term":[61],"memory":[62],"(LSTM)-based":[63],"soft":[64],"sensor":[65],"with":[66,157],"dual":[68],"nonnegative":[69],"garrote":[70],"(DNNG)":[71],"approach":[72],"was":[73],"proposed.":[74],"Firstly,":[75],"well-trained":[77],"initial":[78],"LSTM":[79,105,132],"is":[81,101,164],"constructed":[82],"using":[83,170],"dataset":[86],"capture":[88],"temporal":[90],"dynamic":[91],"behavior":[92],"process.":[96],"Secondly,":[97],"DNNG":[99],"integrated":[102],"into":[103],"reduce":[107,141],"variables":[112,124,209],"hidden":[114,138],"nodes.":[115],"The":[116],"strategy":[117],"efficiently":[118],"selects":[119],"most":[121],"consequential":[122],"model,":[127],"simultaneously":[129],"simplifies":[130],"by":[134,153],"eliminating":[135],"redundant":[136,208],"recurrent":[137],"nodes":[139],"overfitting":[143],"risk.":[144],"Moreover,":[145],"hyperparameters":[147],"are":[151],"determined":[152],"combining":[154],"grid":[155],"search":[156],"blocked":[158],"cross-validation.":[159],"Finally,":[160],"developed":[162],"compared":[165],"other":[167,221],"state-of-the-art":[168],"algorithms":[169],"numerical":[172],"case":[173],"employed":[175],"forecast":[177],"<italic":[179],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[180,183],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">SO</i>":[181],"<sub":[182],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sub>":[184],"concentration":[185],"net":[188],"flue":[189],"gas":[190],"emissions":[191],"coal-fired":[194],"power":[195],"plant":[196],"desulphurization":[197],"system.":[198],"Comparative":[199],"show":[201],"that":[202],"proposed":[204],"effectively":[206],"eliminates":[207],"streamlines":[211],"while":[215],"presenting":[216],"better":[217],"performance":[219],"than":[220],"algorithms.":[222]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
