{"id":"https://openalex.org/W3204949645","doi":"https://doi.org/10.1109/case49439.2021.9551462","title":"Time Series Forecasting in a CVD Reactor for Polysilicon Production","display_name":"Time Series Forecasting in a CVD Reactor for Polysilicon Production","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3204949645","doi":"https://doi.org/10.1109/case49439.2021.9551462","mag":"3204949645"},"language":"en","primary_location":{"id":"doi:10.1109/case49439.2021.9551462","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case49439.2021.9551462","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)","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/A5070139630","display_name":"Bangwen Xi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bangwen Xi","raw_affiliation_strings":["School of Artificial Intelligence, University of Chinese Academy of Sciences","State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088979194","display_name":"Gang Xiong","orcid":"https://orcid.org/0000-0002-4303-5559"},"institutions":[{"id":"https://openalex.org/I4210144487","display_name":"Cloud Computing Center","ror":"https://ror.org/04aa0zm65","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144487"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Xiong","raw_affiliation_strings":["Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation, Chinese Academy of Sciences","Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing, Cloud Computing Center, Chinese Academy of Sciences, Dongguan, China"],"affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing, Cloud Computing Center, Chinese Academy of Sciences, Dongguan, China","institution_ids":["https://openalex.org/I4210144487","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101739661","display_name":"Jun Yan","orcid":"https://orcid.org/0000-0001-8799-5554"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Yan","raw_affiliation_strings":["State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045934908","display_name":"Zhen Shen","orcid":"https://orcid.org/0000-0002-9634-4945"},"institutions":[{"id":"https://openalex.org/I4210144487","display_name":"Cloud Computing Center","ror":"https://ror.org/04aa0zm65","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144487"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Shen","raw_affiliation_strings":["Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation, Chinese Academy of Sciences","Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing, Cloud Computing Center, Chinese Academy of Sciences, Dongguan, China"],"affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing, Cloud Computing Center, Chinese Academy of Sciences, Dongguan, China","institution_ids":["https://openalex.org/I4210144487","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027275431","display_name":"Yonggang Song","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yonggang Song","raw_affiliation_strings":["Xinte Energy Co., Ltd., Xinjiang, China"],"affiliations":[{"raw_affiliation_string":"Xinte Energy Co., Ltd., Xinjiang, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100379477","display_name":"Xiong Liu","orcid":"https://orcid.org/0000-0001-6027-4618"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiong Liu","raw_affiliation_strings":["Xinte Energy Co., Ltd., Xinjiang, China"],"affiliations":[{"raw_affiliation_string":"Xinte Energy Co., Ltd., Xinjiang, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100319990","display_name":"Sheng Liu","orcid":"https://orcid.org/0000-0001-6033-078X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Liu","raw_affiliation_strings":["State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5070139630"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14273923,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1503","last_page":"1508"},"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":0.9847999811172485,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9807000160217285,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/artificial-neural-network","display_name":"Artificial neural network","score":0.7242029309272766},{"id":"https://openalex.org/keywords/chemical-vapor-deposition","display_name":"Chemical vapor deposition","score":0.6632077097892761},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5861358642578125},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5379142761230469},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.5091850161552429},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5083901286125183},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5037972331047058},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4868461489677429},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4838089346885681},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.41496390104293823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34978389739990234},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30910009145736694},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.2906099557876587},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2403818666934967},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17662084102630615},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17509478330612183},{"id":"https://openalex.org/keywords/optoelectronics","display_name":"Optoelectronics","score":0.06931743025779724}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7242029309272766},{"id":"https://openalex.org/C57410435","wikidata":"https://www.wikidata.org/wiki/Q505668","display_name":"Chemical vapor deposition","level":2,"score":0.6632077097892761},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5861358642578125},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5379142761230469},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.5091850161552429},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5083901286125183},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5037972331047058},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4868461489677429},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4838089346885681},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.41496390104293823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34978389739990234},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30910009145736694},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.2906099557876587},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2403818666934967},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17662084102630615},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17509478330612183},{"id":"https://openalex.org/C49040817","wikidata":"https://www.wikidata.org/wiki/Q193091","display_name":"Optoelectronics","level":1,"score":0.06931743025779724},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/case49439.2021.9551462","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case49439.2021.9551462","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.6000000238418579,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G2355511212","display_name":null,"funder_award_id":"U1909204,61773382,U19B2029,61773381,61872365","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7232578338","display_name":null,"funder_award_id":"2018YFB1700403","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/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":34,"referenced_works":["https://openalex.org/W2033955","https://openalex.org/W1484864026","https://openalex.org/W1522301498","https://openalex.org/W1596515083","https://openalex.org/W1924770834","https://openalex.org/W1969852690","https://openalex.org/W1972377611","https://openalex.org/W1981763136","https://openalex.org/W1991119583","https://openalex.org/W2081274246","https://openalex.org/W2086160515","https://openalex.org/W2107878631","https://openalex.org/W2117951582","https://openalex.org/W2144182447","https://openalex.org/W2163605009","https://openalex.org/W2545001194","https://openalex.org/W2550143307","https://openalex.org/W2576201845","https://openalex.org/W2604269657","https://openalex.org/W2618530766","https://openalex.org/W2734096706","https://openalex.org/W2747599906","https://openalex.org/W2757169081","https://openalex.org/W2793408558","https://openalex.org/W2909877301","https://openalex.org/W2962759047","https://openalex.org/W2964121744","https://openalex.org/W4244190327","https://openalex.org/W4254182148","https://openalex.org/W4295011194","https://openalex.org/W6631190155","https://openalex.org/W6640212811","https://openalex.org/W6729149246","https://openalex.org/W6732475852"],"related_works":["https://openalex.org/W4255837520","https://openalex.org/W2387011115","https://openalex.org/W2102148524","https://openalex.org/W4234808182","https://openalex.org/W2382043075","https://openalex.org/W2809151339","https://openalex.org/W2360673138","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Usually":[0],"high-grade":[1],"polysilicon":[2,110],"production":[3],"is":[4,28,55,73,101],"obtained":[5],"by":[6],"the":[7,14,21,42,46,53,56,66,69,98,106,109],"Chemical":[8],"Vapor":[9],"Deposition":[10],"(CVD)":[11],"process":[12],"in":[13,20,93],"Siemens":[15],"reactor.":[16,48],"Predicting":[17],"key":[18,43],"parameters":[19],"reaction":[22],"can":[23],"help":[24],"increase":[25],"production,":[26],"which":[27],"a":[29],"time":[30],"series":[31],"regression":[32],"problem.":[33],"We":[34,96],"propose":[35],"to":[36,40],"use":[37],"neural":[38],"networks":[39],"predict":[41],"variables":[44],"of":[45,68,102,108],"CVD":[47,111],"The":[49,61],"performance":[50],"measure":[51],"for":[52,105],"model":[54],"mean":[57],"standard":[58],"error":[59],"(MSE).":[60],"experimental":[62],"results":[63],"show":[64],"that":[65],"MSE":[67],"target":[70],"parameter":[71],"prediction":[72],"0.00612.":[74],"Compared":[75],"with":[76],"Artificial":[77],"Neural":[78],"Networks(ANN),":[79],"Prophet,":[80],"and":[81,89],"other":[82],"algorithms,":[83],"this":[84],"algorithm":[85],"achieved":[86],"high":[87],"accuracy":[88],"has":[90],"been":[91],"used":[92],"actual":[94],"production.":[95],"believe":[97],"proposed":[99],"approach":[100],"great":[103],"interest":[104],"operation":[107],"process.":[112]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
