{"id":"https://openalex.org/W4387449023","doi":"https://doi.org/10.1109/tim.2023.3323006","title":"Input Factor Selection Based on Interpretable Neural Network for Industrial Virtual Sensing Application","display_name":"Input Factor Selection Based on Interpretable Neural Network for Industrial Virtual Sensing Application","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387449023","doi":"https://doi.org/10.1109/tim.2023.3323006"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3323006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3323006","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/A5035755593","display_name":"Le Yao","orcid":"https://orcid.org/0000-0002-0881-213X"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Yao","raw_affiliation_strings":["School of Mathematics, Hangzhou Normal University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0881-213X","affiliations":[{"raw_affiliation_string":"School of Mathematics, Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017990705","display_name":"Zeyu Yang","orcid":"https://orcid.org/0000-0003-0253-9053"},"institutions":[{"id":"https://openalex.org/I3018263800","display_name":"Huzhou University","ror":"https://ror.org/04mvpxy20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3018263800"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyu Yang","raw_affiliation_strings":["Huzhou Key Laboratory of Intelligent Sensing and Optimal Control for Industrial Systems, School of Engineering, Huzhou University, Huzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0253-9053","affiliations":[{"raw_affiliation_string":"Huzhou Key Laboratory of Intelligent Sensing and Optimal Control for Industrial Systems, School of Engineering, Huzhou University, Huzhou, China","institution_ids":["https://openalex.org/I3018263800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100459159","display_name":"Zheng Zhang","orcid":"https://orcid.org/0000-0002-9724-9958"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zheng Zhang","raw_affiliation_strings":["Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0002-9724-9958","affiliations":[{"raw_affiliation_string":"Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103103425","display_name":"Siyuan Tang","orcid":"https://orcid.org/0000-0003-2157-804X"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyuan Tang","raw_affiliation_strings":["School of Mathematics, Hangzhou Normal University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2157-804X","affiliations":[{"raw_affiliation_string":"School of Mathematics, Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020586879","display_name":"Bingbing Shen","orcid":"https://orcid.org/0000-0002-8832-9147"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingbing Shen","raw_affiliation_strings":["School of Mathematics, Hangzhou Normal University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8832-9147","affiliations":[{"raw_affiliation_string":"School of Mathematics, Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102869416","display_name":"Jiusun Zeng","orcid":"https://orcid.org/0000-0002-9207-4415"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiusun Zeng","raw_affiliation_strings":["School of Mathematics, Hangzhou Normal University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9207-4415","affiliations":[{"raw_affiliation_string":"School of Mathematics, Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4535,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.89161847,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"72","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9983999729156494,"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":0.9983999729156494,"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":0.9961000084877014,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9602000117301941,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.8970719575881958},{"id":"https://openalex.org/keywords/subnetwork","display_name":"Subnetwork","score":0.7747721672058105},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6886430978775024},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.6532996892929077},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6319454908370972},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5943965315818787},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5902614593505859},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5862913131713867},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5127840638160706},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4778546988964081},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39167654514312744},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1945035755634308}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8970719575881958},{"id":"https://openalex.org/C2780186347","wikidata":"https://www.wikidata.org/wiki/Q11414","display_name":"Subnetwork","level":2,"score":0.7747721672058105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6886430978775024},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.6532996892929077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6319454908370972},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5943965315818787},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5902614593505859},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5862913131713867},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5127840638160706},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4778546988964081},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39167654514312744},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1945035755634308},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tim.2023.3323006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3323006","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"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-132184","is_oa":false,"landing_page_url":"https://repository.hkust.edu.hk/ir/Record/1783.1-132184","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5232071087","display_name":"\u57fa\u4e8e\u6df1\u5ea6\u751f\u6210\u6a21\u578b\u7684\u5de5\u4e1a\u65f6\u5e8f\u6570\u636e\u89e3\u8026\u8868\u5f81\u4e0e\u8d28\u91cf\u9884\u62a5\u65b9\u6cd5\u7814\u7a76","funder_award_id":"LQ23F030004","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G6895524612","display_name":null,"funder_award_id":"62303146","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7136348348","display_name":"\u57fa\u4e8e\u6d41\u5f0f\u53d8\u5206\u8d1d\u53f6\u65af\u7684\u81ea\u9002\u5e94\u8d28\u91cf\u9884\u62a5\u5efa\u6a21\u53ca\u5176\u5e94\u7528","funder_award_id":"LQ22F030009","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G7398783184","display_name":null,"funder_award_id":"62203169","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/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W2046945713","https://openalex.org/W2138459548","https://openalex.org/W2592230399","https://openalex.org/W2773984145","https://openalex.org/W2806874342","https://openalex.org/W2884121498","https://openalex.org/W2906950933","https://openalex.org/W2924370663","https://openalex.org/W2941089296","https://openalex.org/W2946135363","https://openalex.org/W2965211237","https://openalex.org/W2973631113","https://openalex.org/W2978430608","https://openalex.org/W3045825034","https://openalex.org/W3082184637","https://openalex.org/W3111221273","https://openalex.org/W3122347867","https://openalex.org/W3123899295","https://openalex.org/W3126304207","https://openalex.org/W3127140329","https://openalex.org/W3186769346","https://openalex.org/W4212888625","https://openalex.org/W4285058963","https://openalex.org/W4285259398","https://openalex.org/W4290830816","https://openalex.org/W4295808856","https://openalex.org/W4298135002","https://openalex.org/W4308906783","https://openalex.org/W4312359551","https://openalex.org/W4312807728","https://openalex.org/W4321495255","https://openalex.org/W4321495414","https://openalex.org/W6752336104","https://openalex.org/W6767857164","https://openalex.org/W6778747846"],"related_works":["https://openalex.org/W2060724872","https://openalex.org/W2082094785","https://openalex.org/W2905433371","https://openalex.org/W2202198356","https://openalex.org/W3087203342","https://openalex.org/W4390569940","https://openalex.org/W2377184161","https://openalex.org/W228984114","https://openalex.org/W2888392564","https://openalex.org/W4361193272"],"abstract_inverted_index":{"Deep":[0],"learning-based":[1],"models":[2,14],"have":[3],"been":[4],"diffusely":[5],"utilized":[6],"in":[7,44,132],"industrial":[8,143,178],"virtual":[9,69,191],"sensing":[10],"tasks.":[11],"However,":[12],"these":[13,29],"built":[15],"on":[16,57],"neural":[17,53],"networks":[18],"are":[19,31,42,118,129,180],"faced":[20],"with":[21,71,83,168],"poor":[22],"interpretability,":[23],"i.e.,":[24],"they":[25,34,41],"cannot":[26],"explain":[27],"why":[28,33],"features":[30],"used,":[32],"can":[35,155],"improve":[36],"model":[37,82,163],"performance,":[38],"and":[39,88,113,161,175,186],"whether":[40],"reliable":[43],"building":[45],"models,":[46],"etc.":[47],"In":[48,107],"this":[49,108],"paper,":[50],"an":[51],"interpretable":[52],"network":[54],"(INN)":[55],"based":[56],"Generalized":[58],"Additive":[59],"Model":[60],"(GAM)":[61],"structure":[62],"is":[63,79,91,165],"proposed":[64,77,190],"to":[65,93,182],"build":[66],"a":[67,80,169,176],"succinct":[68],"sensor":[70],"selected":[72],"efficient":[73],"input":[74,116,123,152],"factors.":[75],"The":[76],"INN":[78],"disentangled":[81],"multiple":[84],"subnetworks":[85],"of":[86,188],"GAM,":[87],"each":[89],"subnetwork":[90],"meant":[92],"discover":[94],"either":[95],"one":[96,100],"main":[97],"factor":[98,102,153],"or":[99],"interactive":[101,115],"for":[103],"the":[104,111,114,121,126,133,136,142,147,151,159,162,184,189],"output":[105],"prediction.":[106],"model,":[109],"both":[110],"standalone":[112],"variables":[117],"taken":[119],"as":[120],"original":[122],"factor.":[124],"Meanwhile,":[125],"time":[127],"delays":[128],"also":[130,166],"considered":[131],"variables,":[134],"since":[135],"time-delay":[137],"factors":[138],"commonly":[139],"exist":[140],"between":[141],"process":[144],"variables.":[145],"Through":[146],"sparsity":[148],"constraint":[149],"learning,":[150],"selection":[154],"be":[156],"explained":[157],"by":[158],"importance,":[160],"performance":[164],"improved":[167],"tight":[170],"structure.":[171],"A":[172],"numerical":[173],"example":[174],"real":[177],"case":[179],"presented":[181],"verify":[183],"effectiveness":[185],"superiority":[187],"sensor.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":7}],"updated_date":"2026-07-13T07:31:44.756512","created_date":"2025-10-10T00:00:00"}