{"id":"https://openalex.org/W4386453777","doi":"https://doi.org/10.1109/taes.2023.3312056","title":"Optimization of a Solid Rocket Motor Design Through Neural Network-Assisted Performance Prediction","display_name":"Optimization of a Solid Rocket Motor Design Through Neural Network-Assisted Performance Prediction","publication_year":2023,"publication_date":"2023-09-05","ids":{"openalex":"https://openalex.org/W4386453777","doi":"https://doi.org/10.1109/taes.2023.3312056"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2023.3312056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2023.3312056","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Aerospace and Electronic Systems","raw_type":"journal-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/A5078892423","display_name":"Hyung Suk Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyung Suk Lee","raw_affiliation_strings":["Yonsei University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-2364-4637","affiliations":[{"raw_affiliation_string":"Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027256048","display_name":"Seung Cheol Ko","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seung Cheol Ko","raw_affiliation_strings":["Yonsei University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-0483-0277","affiliations":[{"raw_affiliation_string":"Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103017568","display_name":"Soon Wook Kwon","orcid":"https://orcid.org/0009-0005-0658-1891"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Soon Wook Kwon","raw_affiliation_strings":["Yonsei University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0009-0005-0658-1891","affiliations":[{"raw_affiliation_string":"Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103068084","display_name":"Joon Sang Lee","orcid":"https://orcid.org/0000-0002-8605-5066"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Joon Sang Lee","raw_affiliation_strings":["Yonsei University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-8605-5066","affiliations":[{"raw_affiliation_string":"Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":6.5538,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.96014657,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"59","issue":"6","first_page":"8769","last_page":"8781"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12513","display_name":"Rocket and propulsion systems research","score":0.9973999857902527,"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"}},"topics":[{"id":"https://openalex.org/T12513","display_name":"Rocket and propulsion systems research","score":0.9973999857902527,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7331618070602417},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5714824199676514},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5154300928115845},{"id":"https://openalex.org/keywords/performance-prediction","display_name":"Performance prediction","score":0.5064612627029419},{"id":"https://openalex.org/keywords/design-of-experiments","display_name":"Design of experiments","score":0.4200756251811981},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3622724711894989},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33174842596054077},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24318000674247742},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.1903417408466339},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09476307034492493},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.09314265847206116}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7331618070602417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5714824199676514},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5154300928115845},{"id":"https://openalex.org/C2777115002","wikidata":"https://www.wikidata.org/wiki/Q7168246","display_name":"Performance prediction","level":2,"score":0.5064612627029419},{"id":"https://openalex.org/C34559072","wikidata":"https://www.wikidata.org/wiki/Q2334061","display_name":"Design of experiments","level":2,"score":0.4200756251811981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3622724711894989},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33174842596054077},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24318000674247742},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.1903417408466339},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09476307034492493},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.09314265847206116},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taes.2023.3312056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2023.3312056","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Aerospace and Electronic Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G7043230835","display_name":null,"funder_award_id":"2022R1A5A1022977","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1600744878","https://openalex.org/W1924770834","https://openalex.org/W1996399829","https://openalex.org/W2019365227","https://openalex.org/W2024047977","https://openalex.org/W2042193511","https://openalex.org/W2043892901","https://openalex.org/W2044835239","https://openalex.org/W2064675550","https://openalex.org/W2107878631","https://openalex.org/W2144035276","https://openalex.org/W2144817476","https://openalex.org/W2152195021","https://openalex.org/W2188312811","https://openalex.org/W2321133894","https://openalex.org/W2327969583","https://openalex.org/W2605574639","https://openalex.org/W2614102128","https://openalex.org/W2782507400","https://openalex.org/W2795340004","https://openalex.org/W2990298952","https://openalex.org/W3038175773","https://openalex.org/W3044769627","https://openalex.org/W3094543590","https://openalex.org/W3125328505","https://openalex.org/W3126924608","https://openalex.org/W3211036174","https://openalex.org/W4205464114","https://openalex.org/W4211138785","https://openalex.org/W4211242323","https://openalex.org/W4302363136","https://openalex.org/W4361019886","https://openalex.org/W6640212811","https://openalex.org/W6681063040","https://openalex.org/W6983501408"],"related_works":["https://openalex.org/W2378757965","https://openalex.org/W4224903346","https://openalex.org/W1593262897","https://openalex.org/W2372869593","https://openalex.org/W2384194537","https://openalex.org/W2031011156","https://openalex.org/W1991935520","https://openalex.org/W2094086202","https://openalex.org/W2162051485","https://openalex.org/W4385059327"],"abstract_inverted_index":{"This":[0],"article":[1],"aims":[2,138],"to":[3,38,83,104,139],"utilize":[4],"neural":[5],"networks":[6],"(NNs)":[7],"for":[8,28,95],"the":[9,47,89,106,109,113,125,130,141,153,162],"performance":[10,120,142],"prediction":[11,143],"and":[12,59,71,87,92,144,158],"design":[13,24,41,56,93,145,156],"optimization":[14,21,146],"of":[15,22,147,155],"solid":[16],"rocket":[17],"motors":[18],"(SRMs).":[19],"The":[20,77],"SRM":[23,163],"parameters":[25,94,157],"is":[26,36],"crucial":[27],"achieving":[29],"desired":[30],"performance.":[31,164],"Herein,":[32],"an":[33,96],"NN-based":[34],"method":[35],"proposed":[37],"achieve":[39],"optimized":[40],"that":[42],"improves":[43],"efficiency.":[44],"To":[45],"train":[46],"NN":[48,67],"models,":[49],"datasets":[50],"were":[51,69,75,80,116],"generated":[52],"by":[53],"considering":[54],"various":[55],"parameter":[57],"values":[58,86,127],"erosive":[60,159],"burning":[61,160],"effects":[62],"on":[63,108,161],"grain":[64],"combustion.":[65],"Multiple":[66],"architectures":[68],"trained,":[70],"their":[72],"training":[73],"accuracies":[74],"compared.":[76],"trained":[78,110,131],"NNs":[79],"then":[81],"employed":[82],"predict":[84],"target":[85,119],"determine":[88],"optimal":[90],"coefficients":[91],"SRM.":[97],"Furthermore,":[98],"a":[99],"sensitivity":[100],"analysis":[101],"was":[102],"performed":[103],"assess":[105],"influence":[107,154],"NNs.":[111,132],"Subsequently,":[112],"obtained":[114],"results":[115],"compared":[117],"with":[118],"characteristics":[121],"through":[122],"simulations":[123],"using":[124],"predicted":[126],"acquired":[128],"from":[129],"By":[133],"leveraging":[134],"NNs,":[135],"this":[136],"study":[137],"improve":[140],"SRMs,":[148],"thereby":[149],"providing":[150],"insights":[151],"into":[152]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}