{"id":"https://openalex.org/W2139733900","doi":"https://doi.org/10.1109/acc.2003.1240404","title":"Study of discharge modeling method using support vector machine for rubber mixing process","display_name":"Study of discharge modeling method using support vector machine for rubber mixing process","publication_year":2004,"publication_date":"2004-01-24","ids":{"openalex":"https://openalex.org/W2139733900","doi":"https://doi.org/10.1109/acc.2003.1240404","mag":"2139733900"},"language":"en","primary_location":{"id":"doi:10.1109/acc.2003.1240404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2003.1240404","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2003 American Control Conference, 2003.","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/A5086853861","display_name":"Yingchun Xie","orcid":"https://orcid.org/0000-0002-3166-303X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yingchun Xie","raw_affiliation_strings":["National Lab of Industrial Control Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"National Lab of Industrial Control Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100727462","display_name":"Haiqing Wang","orcid":"https://orcid.org/0000-0002-7754-006X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiqing Wang","raw_affiliation_strings":["National Lab of Industrial Control Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"National Lab of Industrial Control Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035946982","display_name":"Yanchen Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119987","display_name":"Qingdao Municipal Hospital","ror":"https://ror.org/02jqapy19","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210119987"]},{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanchen Gao","raw_affiliation_strings":["Qingdao Municipal Major Lab of Industry Information Technology, Qingdao"],"affiliations":[{"raw_affiliation_string":"Qingdao Municipal Major Lab of Industry Information Technology, Qingdao","institution_ids":["https://openalex.org/I108688024","https://openalex.org/I4210119987"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100741322","display_name":"Ping Li","orcid":"https://orcid.org/0009-0005-5004-2262"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Li","raw_affiliation_strings":["National Lab of Industrial Control Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"National Lab of Industrial Control Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5086853861"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.12837355,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"3673","last_page":"3678"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9840999841690063,"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/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.9757999777793884,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7511535882949829},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7385576963424683},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6578888297080994},{"id":"https://openalex.org/keywords/natural-rubber","display_name":"Natural rubber","score":0.6328433752059937},{"id":"https://openalex.org/keywords/mixing","display_name":"Mixing (physics)","score":0.5926339030265808},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.574813187122345},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48324307799339294},{"id":"https://openalex.org/keywords/process-control","display_name":"Process control","score":0.44847628474235535},{"id":"https://openalex.org/keywords/process-engineering","display_name":"Process engineering","score":0.32311099767684937},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.26398688554763794},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2564331889152527},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.14439383149147034}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7511535882949829},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7385576963424683},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6578888297080994},{"id":"https://openalex.org/C176933379","wikidata":"https://www.wikidata.org/wiki/Q131877","display_name":"Natural rubber","level":2,"score":0.6328433752059937},{"id":"https://openalex.org/C138777275","wikidata":"https://www.wikidata.org/wiki/Q6884054","display_name":"Mixing (physics)","level":2,"score":0.5926339030265808},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.574813187122345},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48324307799339294},{"id":"https://openalex.org/C155386361","wikidata":"https://www.wikidata.org/wiki/Q1649571","display_name":"Process control","level":3,"score":0.44847628474235535},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.32311099767684937},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26398688554763794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2564331889152527},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.14439383149147034},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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":1,"locations":[{"id":"doi:10.1109/acc.2003.1240404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2003.1240404","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2003 American Control Conference, 2003.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W106293324","https://openalex.org/W1568226008","https://openalex.org/W1964357740","https://openalex.org/W1975655613","https://openalex.org/W2042038728","https://openalex.org/W2120433189","https://openalex.org/W2149298154","https://openalex.org/W2169502938","https://openalex.org/W2583388674","https://openalex.org/W6633839074"],"related_works":["https://openalex.org/W2109252598","https://openalex.org/W886882817","https://openalex.org/W1512878983","https://openalex.org/W2326594127","https://openalex.org/W4290989699","https://openalex.org/W4255766185","https://openalex.org/W1520120059","https://openalex.org/W2354793777","https://openalex.org/W1990120177","https://openalex.org/W2518516791"],"abstract_inverted_index":{"Rubber":[0,113],"mixing":[1,139],"is":[2,18,24,87,146],"an":[3],"important":[4,21],"production":[5],"process":[6],"in":[7,131],"the":[8,12,19,28,51,68,81,91,96,110,118,122,126,142],"tire":[9,30],"plant,":[10],"and":[11,70,74,117,135,141],"control":[13,134],"of":[14,53,109,128,137],"discharge":[15,40,92,98,143],"point,":[16,23],"which":[17],"most":[20],"action":[22],"seriously":[25],"relevant":[26],"with":[27],"final":[29],"quality.":[31],"This":[32],"paper":[33],"presents":[34],"a":[35,106],"SVM":[36,85],"(support":[37],"vector":[38],"machine)":[39],"modeling":[41,57,130,144],"method":[42,124,145],"based":[43],"on":[44],"statistical":[45],"learning":[46],"theory":[47],"(SLT)":[48],"to":[49,67,79,89,94,105],"treat":[50],"limitation":[52],"conventional":[54],"methods.":[55],"Abnormal":[56],"samples":[58],"are":[59,77],"first":[60],"divided":[61],"into":[62],"three":[63],"different":[64],"types":[65],"according":[66],"input":[69],"output":[71],"distribution":[72],"properties,":[73],"corresponding":[75],"approaches":[76],"developed":[78],"eliminate":[80],"outliers,":[82],"respectively.":[83],"Then":[84],"technique":[86],"applied":[88,104],"build":[90],"model":[93,102],"establish":[95],"rubber":[97],"condition.":[99],"The":[100],"obtained":[101],"was":[103],"pilot":[107],"plant":[108],"Hangzhou":[111],"Zhongce":[112],"Co.":[114],"Ltd.,":[115],"China":[116],"result":[119],"shows":[120],"that":[121],"proposed":[123],"suffices":[125],"demand":[127],"data-driven":[129],"finite-sample,":[132],"complexity":[133],"robustness":[136],"actual":[138],"process,":[140],"valid.":[147]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
