{"id":"https://openalex.org/W2049703692","doi":"https://doi.org/10.1109/icca.2014.6871109","title":"A novel update algorithm of least squares support vector machine for industrial process modeling","display_name":"A novel update algorithm of least squares support vector machine for industrial process modeling","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2049703692","doi":"https://doi.org/10.1109/icca.2014.6871109","mag":"2049703692"},"language":"en","primary_location":{"id":"doi:10.1109/icca.2014.6871109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca.2014.6871109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"11th IEEE International Conference on Control &amp; Automation (ICCA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5046768165","display_name":"Tingting Yang","orcid":"https://orcid.org/0000-0002-9643-8466"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Yang","raw_affiliation_strings":["School of Control and Computer Science Engineering, North China Electric Power University, Beijing, China","Sch. of Control & Comput. Sci. Eng., North China Electr. Power Univ., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Control and Computer Science Engineering, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"Sch. of Control & Comput. Sci. Eng., North China Electr. Power Univ., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034409217","display_name":"You Lv","orcid":"https://orcid.org/0000-0002-0401-8983"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]},{"id":"https://openalex.org/I4391767892","display_name":"State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources","ror":"https://ror.org/045hfth47","country_code":null,"type":"facility","lineage":["https://openalex.org/I153473198","https://openalex.org/I4391767892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"You Lv","raw_affiliation_strings":["State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, Beijing, China","State Key Lab. of Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, Beijing, China","institution_ids":["https://openalex.org/I4391767892"]},{"raw_affiliation_string":"State Key Lab. of Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113553099","display_name":"Taihua Chang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Taihua Chang","raw_affiliation_strings":["School of Control and Computer Science Engineering, Beijing, China","Sch. of Control & Comput. Sci. Eng., North China Electr. Power Univ., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Control and Computer Science Engineering, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Sch. of Control & Comput. Sci. Eng., North China Electr. Power Univ., Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101436630","display_name":"Jin Gao","orcid":"https://orcid.org/0000-0003-1872-144X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jin Gao","raw_affiliation_strings":["School of Control and Computer Science Engineering, Beijing, China","Sch. of Control & Comput. Sci. Eng., North China Electr. Power Univ., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Control and Computer Science Engineering, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Sch. of Control & Comput. Sci. Eng., North China Electr. Power Univ., Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"1287","last_page":"1291"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9976999759674072,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9976999759674072,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9929999709129333,"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/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.98089998960495,"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/process","display_name":"Process (computing)","score":0.7285372614860535},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6931302547454834},{"id":"https://openalex.org/keywords/least-squares-support-vector-machine","display_name":"Least squares support vector machine","score":0.6365311741828918},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5944358110427856},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5748991966247559},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.5217384099960327},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4756738245487213},{"id":"https://openalex.org/keywords/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.44138917326927185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3122745752334595},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.29481279850006104},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20270848274230957},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12402012944221497}],"concepts":[{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.7285372614860535},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6931302547454834},{"id":"https://openalex.org/C145828037","wikidata":"https://www.wikidata.org/wiki/Q17086219","display_name":"Least squares support vector machine","level":3,"score":0.6365311741828918},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5944358110427856},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5748991966247559},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.5217384099960327},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4756738245487213},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.44138917326927185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3122745752334595},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29481279850006104},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20270848274230957},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12402012944221497},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"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/icca.2014.6871109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca.2014.6871109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"11th IEEE International Conference on Control &amp; Automation (ICCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W623776627","https://openalex.org/W1596717185","https://openalex.org/W1997175741","https://openalex.org/W2006881475","https://openalex.org/W2078039778","https://openalex.org/W2092570679","https://openalex.org/W2315758390"],"related_works":["https://openalex.org/W2122277321","https://openalex.org/W2382231800","https://openalex.org/W2650781048","https://openalex.org/W2538830880","https://openalex.org/W2350302603","https://openalex.org/W2134202645","https://openalex.org/W2394871888","https://openalex.org/W2012353789","https://openalex.org/W2769345709","https://openalex.org/W2372354349"],"abstract_inverted_index":{"An":[0],"update":[1,41,84],"algorithm":[2],"of":[3,17,60,80,89],"least":[4],"squares":[5],"support":[6],"vector":[7],"machine":[8],"(LSSVM)":[9],"is":[10,55],"proposed":[11,39,52],"to":[12,27,40],"tackle":[13],"the":[14,18,32,42,48,58,67,77,81,90],"time-varying":[15],"characteristics":[16,92],"real":[19],"industrial":[20],"process.":[21,72],"The":[22,73],"process":[23,91],"variations":[24],"are":[25,38],"concluded":[26],"two":[28],"categories,":[29],"and":[30,35],"accordingly":[31],"samples":[33,36],"adding":[34],"replacement":[37],"initial":[43],"LSSVM":[44,49],"model":[45,50,82],"incrementally.":[46],"Then":[47],"with":[51,83],"updating":[53],"measures":[54],"applied":[56],"in":[57,66,87],"prediction":[59,78],"SO":[61],"<sub":[62],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[63],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sub>":[64],"concentration":[65],"sulfur":[68],"recovery":[69],"unit":[70],"(SRU)":[71],"results":[74],"reveal":[75],"that":[76],"accuracy":[79],"maintains":[85],"high":[86],"spite":[88],"varying.":[93]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}