{"id":"https://openalex.org/W4313646565","doi":"https://doi.org/10.1017/s0890060422000233","title":"Neural networks with dimensionality reduction for predicting temperature change due to plastic deformation in a cold rolling simulation","display_name":"Neural networks with dimensionality reduction for predicting temperature change due to plastic deformation in a cold rolling simulation","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4313646565","doi":"https://doi.org/10.1017/s0890060422000233"},"language":"en","primary_location":{"id":"doi:10.1017/s0890060422000233","is_oa":true,"landing_page_url":"https://doi.org/10.1017/s0890060422000233","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/25EB6BF8677C41DD2FAF07B3F733DCC0/S0890060422000233a.pdf/div-class-title-neural-networks-with-dimensionality-reduction-for-predicting-temperature-change-due-to-plastic-deformation-in-a-cold-rolling-simulation-div.pdf","source":{"id":"https://openalex.org/S4210193102","display_name":"Artificial intelligence for engineering design analysis and manufacturing","issn_l":"0890-0604","issn":["0890-0604","1469-1760"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence for Engineering Design, Analysis and Manufacturing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/25EB6BF8677C41DD2FAF07B3F733DCC0/S0890060422000233a.pdf/div-class-title-neural-networks-with-dimensionality-reduction-for-predicting-temperature-change-due-to-plastic-deformation-in-a-cold-rolling-simulation-div.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037366299","display_name":"Chun Kit Jeffery Hou","orcid":"https://orcid.org/0000-0003-3286-3129"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Chun Kit Jeffery Hou","raw_affiliation_strings":["Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060551543","display_name":"Kamran Behdinan","orcid":"https://orcid.org/0000-0002-1873-9837"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kamran Behdinan","raw_affiliation_strings":["Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5037366299"],"corresponding_institution_ids":["https://openalex.org/I185261750"],"apc_list":null,"apc_paid":null,"fwci":0.3262,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.46581123,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"37","issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11201","display_name":"Metallurgy and Material Forming","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T11201","display_name":"Metallurgy and Material Forming","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T10386","display_name":"Microstructure and Mechanical Properties of Steels","score":0.9916999936103821,"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/T10188","display_name":"Advanced machining processes and optimization","score":0.9897000193595886,"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/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7857363224029541},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7610554695129395},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6779216527938843},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6510602235794067},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5661661028862},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5486142039299011},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5428715348243713},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5397641658782959},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5342188477516174},{"id":"https://openalex.org/keywords/deformation","display_name":"Deformation (meteorology)","score":0.5121252536773682},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4206584095954895},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37875908613204956},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.37846606969833374},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.31751328706741333},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2480567991733551},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2386966049671173},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10025322437286377},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06543821096420288}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7857363224029541},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7610554695129395},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6779216527938843},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6510602235794067},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5661661028862},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5486142039299011},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5428715348243713},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5397641658782959},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5342188477516174},{"id":"https://openalex.org/C204366326","wikidata":"https://www.wikidata.org/wiki/Q3027650","display_name":"Deformation (meteorology)","level":2,"score":0.5121252536773682},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4206584095954895},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37875908613204956},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.37846606969833374},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.31751328706741333},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2480567991733551},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2386966049671173},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10025322437286377},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06543821096420288},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1017/s0890060422000233","is_oa":true,"landing_page_url":"https://doi.org/10.1017/s0890060422000233","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/25EB6BF8677C41DD2FAF07B3F733DCC0/S0890060422000233a.pdf/div-class-title-neural-networks-with-dimensionality-reduction-for-predicting-temperature-change-due-to-plastic-deformation-in-a-cold-rolling-simulation-div.pdf","source":{"id":"https://openalex.org/S4210193102","display_name":"Artificial intelligence for engineering design analysis and manufacturing","issn_l":"0890-0604","issn":["0890-0604","1469-1760"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence for Engineering Design, Analysis and Manufacturing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1017/s0890060422000233","is_oa":true,"landing_page_url":"https://doi.org/10.1017/s0890060422000233","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/25EB6BF8677C41DD2FAF07B3F733DCC0/S0890060422000233a.pdf/div-class-title-neural-networks-with-dimensionality-reduction-for-predicting-temperature-change-due-to-plastic-deformation-in-a-cold-rolling-simulation-div.pdf","source":{"id":"https://openalex.org/S4210193102","display_name":"Artificial intelligence for engineering design analysis and manufacturing","issn_l":"0890-0604","issn":["0890-0604","1469-1760"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence for Engineering Design, Analysis and Manufacturing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G8630293494","display_name":null,"funder_award_id":"RGPIN-217525","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4313646565.pdf"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W419168134","https://openalex.org/W1978110079","https://openalex.org/W1978922871","https://openalex.org/W1984610331","https://openalex.org/W1991062510","https://openalex.org/W1991827416","https://openalex.org/W1994852527","https://openalex.org/W1995994366","https://openalex.org/W1996206015","https://openalex.org/W1999256808","https://openalex.org/W1999268518","https://openalex.org/W2004049395","https://openalex.org/W2005878543","https://openalex.org/W2015081190","https://openalex.org/W2042696077","https://openalex.org/W2046540468","https://openalex.org/W2049667179","https://openalex.org/W2073503722","https://openalex.org/W2078454401","https://openalex.org/W2087599902","https://openalex.org/W2094007604","https://openalex.org/W2096065637","https://openalex.org/W2101234009","https://openalex.org/W2104471037","https://openalex.org/W2107873320","https://openalex.org/W2119809471","https://openalex.org/W2138998329","https://openalex.org/W2151599606","https://openalex.org/W2295124130","https://openalex.org/W2475291171","https://openalex.org/W2756283039","https://openalex.org/W2767361249","https://openalex.org/W2792819271","https://openalex.org/W2891881703","https://openalex.org/W2908567382","https://openalex.org/W2949417153","https://openalex.org/W3005180936","https://openalex.org/W3011205024","https://openalex.org/W3015015751","https://openalex.org/W3015254183","https://openalex.org/W3124559821","https://openalex.org/W4211094537","https://openalex.org/W6632425672","https://openalex.org/W6675354045","https://openalex.org/W6772296502","https://openalex.org/W6774186416","https://openalex.org/W6922408434"],"related_works":["https://openalex.org/W2579148721","https://openalex.org/W4387893611","https://openalex.org/W2347335694","https://openalex.org/W2091056927","https://openalex.org/W2067407580","https://openalex.org/W4317486777","https://openalex.org/W4389669152","https://openalex.org/W2038514069","https://openalex.org/W1967233468","https://openalex.org/W2009181529"],"abstract_inverted_index":{"Abstract":[0],"Cold":[1],"rolling":[2,55],"involves":[3],"large":[4,25],"deformation":[5,50],"of":[6,38,60,105,139],"the":[7,31,36,87,98,116,121],"workpiece":[8],"leading":[9],"to":[10,14,24,28,48,64,101,115],"temperature":[11,45,123],"increase":[12],"due":[13,47],"plastic":[15,49],"deformation.":[16],"This":[17,33],"process":[18],"is":[19,63],"highly":[20],"nonlinear":[21,93],"and":[22,69,79,92,134,143],"leads":[23],"computation":[26],"times":[27],"fully":[29],"model":[30],"process.":[32,56],"paper":[34],"describes":[35],"use":[37],"dimension-reduced":[39],"neural":[40,117,132],"networks":[41,118],"(DR-NNs)":[42],"for":[43,86,119],"predicting":[44,120],"changes":[46],"in":[51,71,137],"a":[52,102,130],"two-stage":[53],"cold":[54],"The":[57,108,125],"main":[58],"objective":[59],"these":[61],"models":[62,81],"reduce":[65,97],"computational":[66,141],"demand,":[67],"error,":[68],"uncertainty":[70],"predictions.":[72],"Material":[73],"properties,":[74],"feed":[75],"velocity,":[76],"sheet":[77],"dimensions,":[78],"friction":[80],"are":[82,111,127],"introduced":[83],"as":[84,113],"inputs":[85,114],"dimensionality":[88,94],"reduction.":[89],"Different":[90],"linear":[91],"reduction":[95],"methods":[96],"input":[99],"space":[100],"smaller":[103],"set":[104],"principal":[106,109],"components.":[107],"components":[110],"fed":[112],"output":[122],"change.":[124],"DR-NNs":[126],"compared":[128],"against":[129],"standalone":[131],"network":[133],"show":[135],"improvements":[136],"terms":[138],"lower":[140],"time":[142],"prediction":[144],"uncertainty.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-01-22T23:29:09.771500","created_date":"2025-10-10T00:00:00"}