{"id":"https://openalex.org/W2151199775","doi":"https://doi.org/10.1109/ijcnn.2008.4633843","title":"Prediction of convergence dynamics of design performance using differential recurrent neural networks","display_name":"Prediction of convergence dynamics of design performance using differential recurrent neural networks","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2151199775","doi":"https://doi.org/10.1109/ijcnn.2008.4633843","mag":"2151199775"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2008.4633843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4633843","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","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/A5063018198","display_name":"Yi Cao","orcid":"https://orcid.org/0000-0003-2360-1485"},"institutions":[{"id":"https://openalex.org/I82284825","display_name":"Cranfield University","ror":"https://ror.org/05cncd958","country_code":"GB","type":"education","lineage":["https://openalex.org/I82284825"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Yi Cao","raw_affiliation_strings":["School of Engineering, Cranfield University, Bedford, UK"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Cranfield University, Bedford, UK","institution_ids":["https://openalex.org/I82284825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032314861","display_name":"Yaochu Jin","orcid":"https://orcid.org/0000-0003-1100-0631"},"institutions":[{"id":"https://openalex.org/I4210112253","display_name":"Honda (Germany)","ror":"https://ror.org/022c1xk47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210112253"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yaochu Jin","raw_affiliation_strings":["Honda Research Institute Europe GmbH, Offenbach, Germany"],"affiliations":[{"raw_affiliation_string":"Honda Research Institute Europe GmbH, Offenbach, Germany","institution_ids":["https://openalex.org/I4210112253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080350163","display_name":"Micha\u0142 Kowalczykiewicz","orcid":"https://orcid.org/0000-0001-7574-3106"},"institutions":[{"id":"https://openalex.org/I82284825","display_name":"Cranfield University","ror":"https://ror.org/05cncd958","country_code":"GB","type":"education","lineage":["https://openalex.org/I82284825"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Michal Kowalczykiewicz","raw_affiliation_strings":["School of Engineering, Cranfield University, Bedford, UK"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Cranfield University, Bedford, UK","institution_ids":["https://openalex.org/I82284825"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066418464","display_name":"Bernhard Sendhoff","orcid":"https://orcid.org/0000-0002-1233-9584"},"institutions":[{"id":"https://openalex.org/I4210112253","display_name":"Honda (Germany)","ror":"https://ror.org/022c1xk47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210112253"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bernhard Sendhoff","raw_affiliation_strings":["Honda Research Institute Europe GmbH, Offenbach, Germany"],"affiliations":[{"raw_affiliation_string":"Honda Research Institute Europe GmbH, Offenbach, Germany","institution_ids":["https://openalex.org/I4210112253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063018198"],"corresponding_institution_ids":["https://openalex.org/I82284825"],"apc_list":null,"apc_paid":null,"fwci":0.5569,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.70027608,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"120","issue":null,"first_page":"528","last_page":"533"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10944","display_name":"Turbomachinery Performance and Optimization","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10998","display_name":"Heat Transfer and Optimization","score":0.9979000091552734,"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/feedforward-neural-network","display_name":"Feedforward neural network","score":0.7350102066993713},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.721642255783081},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7058553099632263},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.6890508532524109},{"id":"https://openalex.org/keywords/computational-fluid-dynamics","display_name":"Computational fluid dynamics","score":0.6883671283721924},{"id":"https://openalex.org/keywords/aerodynamics","display_name":"Aerodynamics","score":0.6289183497428894},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.5885401964187622},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4755092263221741},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.44900354743003845},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3367908000946045},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2952207922935486},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.2845214605331421},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15025466680526733},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.06328245997428894}],"concepts":[{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.7350102066993713},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.721642255783081},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7058553099632263},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.6890508532524109},{"id":"https://openalex.org/C1633027","wikidata":"https://www.wikidata.org/wiki/Q815820","display_name":"Computational fluid dynamics","level":2,"score":0.6883671283721924},{"id":"https://openalex.org/C13393347","wikidata":"https://www.wikidata.org/wiki/Q8424","display_name":"Aerodynamics","level":2,"score":0.6289183497428894},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.5885401964187622},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4755092263221741},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.44900354743003845},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3367908000946045},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2952207922935486},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.2845214605331421},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15025466680526733},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.06328245997428894},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/ijcnn.2008.4633843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4633843","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"},{"id":"pmh:oai:alma.44SUR_INST:11139734510002346","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:dspace.lib.cranfield.ac.uk:1826/8388","is_oa":false,"landing_page_url":"http://dspace.lib.cranfield.ac.uk/handle/1826/8388","pdf_url":null,"source":{"id":"https://openalex.org/S4306401778","display_name":"CERES (Cranfield University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82284825","host_organization_name":"Cranfield University","host_organization_lineage":["https://openalex.org/I82284825"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"},{"id":"pmh:oai:epubs.surrey.ac.uk:532825","is_oa":false,"landing_page_url":"http://epubs.surrey.ac.uk/532825/1/DRNNCFD_IJCNN2008.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400680","display_name":"Surrey Research Insight Open Access (The University of Surrey)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28290843","host_organization_name":"University of Surrey","host_organization_lineage":["https://openalex.org/I28290843"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1520622896","https://openalex.org/W1571429435","https://openalex.org/W1609496979","https://openalex.org/W1970346034","https://openalex.org/W1994309501","https://openalex.org/W2012451526","https://openalex.org/W2012706238","https://openalex.org/W2058580716","https://openalex.org/W2068743703","https://openalex.org/W2087070363","https://openalex.org/W2098390261","https://openalex.org/W2154890045","https://openalex.org/W2158985775","https://openalex.org/W2166739626","https://openalex.org/W2170869010","https://openalex.org/W3101260193","https://openalex.org/W3185484028","https://openalex.org/W4206215385","https://openalex.org/W4250431336","https://openalex.org/W4255224978"],"related_works":["https://openalex.org/W2115072676","https://openalex.org/W4311212821","https://openalex.org/W1529660427","https://openalex.org/W2102065768","https://openalex.org/W4390752998","https://openalex.org/W2524120878","https://openalex.org/W2794343888","https://openalex.org/W2158578859","https://openalex.org/W4391020207","https://openalex.org/W2109916967"],"abstract_inverted_index":{"Computational":[0],"fluid":[1],"dynamics":[2,78],"(CFD)":[3],"simulations":[4],"have":[5,58],"been":[6,59,116],"extensively":[7],"used":[8],"in":[9,43],"many":[10],"aerodynamic":[11],"design":[12,22],"optimization":[13,34],"problems,":[14],"such":[15,33],"as":[16],"wing":[17],"and":[18],"turbine":[19],"blade":[20],"shape":[21],"optimization.":[23],"However,":[24,69],"it":[25],"normally":[26],"takes":[27],"very":[28,160],"long":[29],"time":[30],"to":[31,37,53,65,95,101,118,133],"solve":[32],"problems":[35],"due":[36],"the":[38,77,80,120,126,156],"heavy":[39],"computation":[40],"load":[41],"involved":[42],"CFD":[44,67,127],"simulations,":[45],"where":[46],"a":[47,87,108,146],"number":[48,89,148],"of":[49,79,90,122,149],"differential":[50,81,111],"equations":[51],"are":[52,93],"be":[54],"solved.":[55],"Some":[56],"efforts":[57],"seen":[60],"using":[61,110],"feedforward":[62,70,97,138],"neural":[63,71,98,113,139],"networks":[64,114],"approximate":[66],"models.":[68],"network":[72,99],"models":[73,100],"cannot":[74],"capture":[75],"well":[76],"equations.":[82],"Thus,":[83],"training":[84],"data":[85],"from":[86],"large":[88,147],"different":[91],"designs":[92,124],"needed":[94],"train":[96],"achieve":[102],"reliable":[103],"generalization.":[104],"In":[105],"this":[106,141],"work,":[107],"technique":[109],"recurrent":[112],"has":[115],"proposed":[117,157],"predict":[119],"performance":[121],"candidate":[123],"before":[125],"simulation":[128],"is":[129,159],"fully":[130],"converged.":[131],"Compared":[132],"existing":[134],"methods":[135],"based":[136],"on":[137],"networks,":[140],"approach":[142],"does":[143],"not":[144],"need":[145],"previous":[150],"designs.":[151],"Case":[152],"studies":[153],"show":[154],"that":[155],"method":[158],"promising.":[161]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}