{"id":"https://openalex.org/W4409882664","doi":"https://doi.org/10.1109/tfuzz.2025.3562333","title":"Fuzzy Hierarchical Stochastic Configuration Networks for Industrial Soft Sensor Modeling","display_name":"Fuzzy Hierarchical Stochastic Configuration Networks for Industrial Soft Sensor Modeling","publication_year":2025,"publication_date":"2025-04-28","ids":{"openalex":"https://openalex.org/W4409882664","doi":"https://doi.org/10.1109/tfuzz.2025.3562333"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2025.3562333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2025.3562333","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"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 Fuzzy Systems","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":null,"display_name":"Xinyu Zhou","orcid":"https://orcid.org/0009-0006-2080-9845"},"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":"Xinyu Zhou","raw_affiliation_strings":["State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0009-0006-2080-9845","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102024259","display_name":"Jun Lu","orcid":"https://orcid.org/0000-0002-0320-5672"},"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":"Jun Lu","raw_affiliation_strings":["State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-0320-5672","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022740106","display_name":"Jinliang Ding","orcid":"https://orcid.org/0000-0003-3735-0672"},"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":"Jinliang Ding","raw_affiliation_strings":["State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0003-3735-0672","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":7.0009,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.97185036,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"33","issue":"7","first_page":"2336","last_page":"2347"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14474","display_name":"Industrial Technology and Control Systems","score":0.9259999990463257,"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/T14474","display_name":"Industrial Technology and Control Systems","score":0.9259999990463257,"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/fuzzy-logic","display_name":"Fuzzy logic","score":0.5739981532096863},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5570980906486511},{"id":"https://openalex.org/keywords/soft-sensor","display_name":"Soft sensor","score":0.4588582515716553},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.41694408655166626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3543357849121094},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3444936275482178},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.12131348252296448}],"concepts":[{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5739981532096863},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5570980906486511},{"id":"https://openalex.org/C115575686","wikidata":"https://www.wikidata.org/wiki/Q18822403","display_name":"Soft sensor","level":3,"score":0.4588582515716553},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.41694408655166626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3543357849121094},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3444936275482178},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.12131348252296448},{"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/tfuzz.2025.3562333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2025.3562333","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"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 Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2374796770","display_name":null,"funder_award_id":"2024T170111","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G3316198426","display_name":null,"funder_award_id":"62394342","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6772845024","display_name":null,"funder_award_id":"62203100","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G91982172","display_name":null,"funder_award_id":"62394344","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W2000651380","https://openalex.org/W2012638612","https://openalex.org/W2079325629","https://openalex.org/W2111637385","https://openalex.org/W2146444479","https://openalex.org/W2218700150","https://openalex.org/W2593382986","https://openalex.org/W2618410756","https://openalex.org/W2795943779","https://openalex.org/W2964109950","https://openalex.org/W2991207885","https://openalex.org/W3014742123","https://openalex.org/W3016077482","https://openalex.org/W3048582611","https://openalex.org/W3093340211","https://openalex.org/W3111059971","https://openalex.org/W3182574379","https://openalex.org/W3206353879","https://openalex.org/W4224914487","https://openalex.org/W4283271909","https://openalex.org/W4294891637","https://openalex.org/W4303418920","https://openalex.org/W4309278905","https://openalex.org/W4376481086","https://openalex.org/W4384304062","https://openalex.org/W4386736624","https://openalex.org/W4390481229","https://openalex.org/W4390618335","https://openalex.org/W4392796476","https://openalex.org/W4394951247","https://openalex.org/W4399884288","https://openalex.org/W4404635069","https://openalex.org/W4405092809","https://openalex.org/W6856410017","https://openalex.org/W6869714090"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2374290272","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2097933059","https://openalex.org/W2142036596","https://openalex.org/W135622916"],"abstract_inverted_index":{"Traditional":[0],"stochastic":[1],"configuration":[2],"networks":[3],"(SCNs)-based":[4],"industrial":[5,192],"soft":[6,193],"sensors":[7],"have":[8,135,164],"the":[9,98,109,132,136,142,161,165,174],"shortcomings":[10],"of":[11,38,56,65,102,167,173],"failing":[12],"to":[13,42,104,134,163,186],"account":[14],"for":[15],"\u201cslowness\u201d":[16],"characteristic":[17],"and":[18,40,48,75,97,106,140,153,171],"struggling":[19],"with":[20,33,95,149],"processing":[21],"rule-based":[22,122,176],"information.":[23,125],"The":[24,80,113,126,145,178],"original":[25],"slow":[26,67,81,123],"feature":[27,68,82,124],"extraction":[28,69,83],"methods":[29],"based":[30,91],"on":[31,92],"autoencoders":[32],"fixed":[34],"structure":[35],"are":[36],"lack":[37],"flexibility":[39],"difficult":[41],"maintain":[43],"a":[44,54,66,71,89,154],"balance":[45],"between":[46],"efficiency":[47],"accuracy.":[49],"To":[50],"address":[51],"these":[52],"challenges,":[53],"framework":[55,180],"fuzzy":[57,72,114,127,137,175],"hierarchical":[58],"SCNs":[59,94,103],"(FHSCNs)":[60],"is":[61,85,117,157,181],"proposed,":[62,118],"which":[63,87,119,159],"consists":[64],"block,":[70],"inference":[73,115,128],"block":[74,84,116,129,148],"an":[76,150],"enhanced":[77,146],"output":[78,147],"block.":[79],"designed,":[86],"utilizes":[88],"autoencoder":[90],"two":[93],"shared-parameters":[96],"incremental":[99],"learning":[100],"paradigm":[101],"efficiently":[105],"adaptively":[107],"extract":[108],"slow-varying":[110],"latent":[111],"features.":[112,177],"can":[120,130],"process":[121],"allow":[131],"model":[133,143],"reasoning":[138],"capabilities":[139],"improve":[141],"interpretability.":[144],"enhancement":[151],"layer":[152],"direct-connect":[155],"portion":[156],"presented,":[158],"enables":[160],"FHSCNs":[162],"ability":[166],"capturing":[168],"both":[169],"linearity":[170],"nonlinearity":[172],"proposed":[179],"validated":[182],"through":[183],"comprehensive":[184],"experiments":[185],"demonstrate":[187],"its":[188],"effectiveness":[189],"in":[190],"constructing":[191],"sensor":[194],"model.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}