{"id":"https://openalex.org/W4286306511","doi":"https://doi.org/10.23919/ascc56756.2022.9828220","title":"Machine learning-based soft measurement method in the dense process of hydrometallurgy","display_name":"Machine learning-based soft measurement method in the dense process of hydrometallurgy","publication_year":2022,"publication_date":"2022-05-04","ids":{"openalex":"https://openalex.org/W4286306511","doi":"https://doi.org/10.23919/ascc56756.2022.9828220"},"language":"en","primary_location":{"id":"doi:10.23919/ascc56756.2022.9828220","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ascc56756.2022.9828220","pdf_url":null,"source":{"id":"https://openalex.org/S4363607827","display_name":"2022 13th Asian Control Conference (ASCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th Asian Control Conference (ASCC)","raw_type":"proceedings-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/A5100456986","display_name":"Kang Li","orcid":"https://orcid.org/0000-0002-8136-9816"},"institutions":[{"id":"https://openalex.org/I4391767754","display_name":"State Key Laboratory of Process Automation in Mining and Metallurgy","ror":"https://ror.org/05vmxhn52","country_code":null,"type":"facility","lineage":["https://openalex.org/I4210108870","https://openalex.org/I4391767754"]},{"id":"https://openalex.org/I4210108870","display_name":"Beijing General Research Institute of Mining and Metallurgy","ror":"https://ror.org/01z3gk918","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210108870"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kang Li","raw_affiliation_strings":["State Key Laboratory of Process Automation in Mining and Metallurgy,Bgrimm Technology Group,Beijing,China","Bgrimm Technology Group, State Key Laboratory of Process Automation in Mining and Metallurgy, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Process Automation in Mining and Metallurgy,Bgrimm Technology Group,Beijing,China","institution_ids":["https://openalex.org/I4210108870"]},{"raw_affiliation_string":"Bgrimm Technology Group, State Key Laboratory of Process Automation in Mining and Metallurgy, Beijing, China","institution_ids":["https://openalex.org/I4210108870","https://openalex.org/I4391767754"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053675794","display_name":"Hualu Zhang","orcid":null},"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":"Hualu Zhang","raw_affiliation_strings":["Northeastern University,College of Information Science and Engineering,Shenyang,China","College of Information Science and Engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Northeastern University,College of Information Science and Engineering,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068335898","display_name":"Lianyu Wang","orcid":"https://orcid.org/0000-0001-7088-1411"},"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":"Lianyu Wang","raw_affiliation_strings":["Northeastern University,College of Information Science and Engineering,Shenyang,China","College of Information Science and Engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Northeastern University,College of Information Science and Engineering,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101944403","display_name":"Chenyu Fang","orcid":"https://orcid.org/0009-0000-5887-6740"},"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":"Chenyu Fang","raw_affiliation_strings":["Northeastern University,College of Information Science and Engineering,Shenyang,China","College of Information Science and Engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Northeastern University,College of Information Science and Engineering,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100456986"],"corresponding_institution_ids":["https://openalex.org/I4210108870","https://openalex.org/I4391767754"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13809065,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"829","last_page":"834"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12282","display_name":"Mineral Processing and Grinding","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T12282","display_name":"Mineral Processing and Grinding","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10876","display_name":"Fault Detection and Control Systems","score":0.9933000206947327,"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/T11126","display_name":"Metallurgical Processes and Thermodynamics","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/beneficiation","display_name":"Beneficiation","score":0.8361238241195679},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7293234467506409},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6900063157081604},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6629284024238586},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5168421864509583},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4952377378940582},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.48018041253089905},{"id":"https://openalex.org/keywords/production-line","display_name":"Production line","score":0.47540339827537537},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.45576533675193787},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.4341649115085602},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39599311351776123},{"id":"https://openalex.org/keywords/process-engineering","display_name":"Process engineering","score":0.3761112093925476},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3361591100692749},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15527671575546265},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12045454978942871},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.07502534985542297},{"id":"https://openalex.org/keywords/metallurgy","display_name":"Metallurgy","score":0.07264652848243713}],"concepts":[{"id":"https://openalex.org/C138782731","wikidata":"https://www.wikidata.org/wiki/Q2782134","display_name":"Beneficiation","level":2,"score":0.8361238241195679},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7293234467506409},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6900063157081604},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6629284024238586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5168421864509583},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4952377378940582},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.48018041253089905},{"id":"https://openalex.org/C99862985","wikidata":"https://www.wikidata.org/wiki/Q10858068","display_name":"Production line","level":2,"score":0.47540339827537537},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.45576533675193787},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.4341649115085602},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39599311351776123},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.3761112093925476},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3361591100692749},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15527671575546265},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12045454978942871},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.07502534985542297},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.07264652848243713},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/ascc56756.2022.9828220","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ascc56756.2022.9828220","pdf_url":null,"source":{"id":"https://openalex.org/S4363607827","display_name":"2022 13th Asian Control Conference (ASCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th Asian Control Conference (ASCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1606954856","https://openalex.org/W1968763291","https://openalex.org/W1995562189","https://openalex.org/W2000651380","https://openalex.org/W2095705004","https://openalex.org/W2117539524","https://openalex.org/W2121029939","https://openalex.org/W2325939864","https://openalex.org/W2579348194","https://openalex.org/W2769851728","https://openalex.org/W2786583476","https://openalex.org/W2922660557","https://openalex.org/W2954564311","https://openalex.org/W2955829435","https://openalex.org/W2968596962","https://openalex.org/W2972849700","https://openalex.org/W6674330103"],"related_works":["https://openalex.org/W13664544","https://openalex.org/W2978573233","https://openalex.org/W4308875859","https://openalex.org/W2385096682","https://openalex.org/W2384462670","https://openalex.org/W4388189637","https://openalex.org/W2382321740","https://openalex.org/W2041542786","https://openalex.org/W2964954556","https://openalex.org/W2390407829"],"abstract_inverted_index":{"Mud":[0],"height":[1],"and":[2,48,87],"feed":[3,82],"concentration":[4],"are":[5,20,30],"important":[6],"variables":[7],"of":[8,17,44,58,61,78,81,101,104,108],"thickener":[9,45],"in":[10,22,37],"beneficiation":[11],"process.":[12,24],"However,":[13],"real-time":[14],"online":[15],"detection":[16,60,80,103],"these":[18,34],"parameters":[19,107],"difficult":[21],"actual":[23,88],"Therefore,":[25],"some":[26],"soft":[27],"sensing":[28],"models":[29],"proposed":[31],"to":[32,54,74],"solve":[33,55,75,98],"production":[35,66],"problems":[36],"this":[38],"paper.":[39],"Firstly,":[40],"the":[41,56,76,92,99],"internal":[42],"image":[43],"is":[46,52,72],"collected,":[47],"CNN(Convolutional":[49],"Neural":[50],"Networks)":[51],"used":[53,73],"problem":[57,77,100],"on-line":[59,79,102],"mud":[62],"layer.":[63],"Then,":[64],"using":[65],"data,":[67],"LSTM(Long":[68],"Short-Term":[69],"Memory)":[70],"method":[71,95],"concentration.":[83],"The":[84],"simulation":[85],"results":[86],"data":[89],"verify":[90],"that":[91],"machine":[93,106],"learning":[94],"can":[96],"effectively":[97],"key":[105],"thickener.":[109]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}