{"title":"基于多保真度数据集和参数冻结策略的船体设计神经网络代理模型的构建","authors":"Yu Ao, Shaofan Li, Yunbo Li, Jiaye Gong","doi":"10.1080/20464177.2024.2330174","DOIUrl":null,"url":null,"abstract":"Designing a ship hull to keep the hydrodynamic performance meet the requirements is an indispensable step in the ship's preliminary design. However, in the traditional design process, the design wo...","PeriodicalId":501496,"journal":{"name":"Journal of Marine Engineering & Technology","volume":"111 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The construction of a neural network proxy model for ship hull design based on multi-fidelity datasets and the parameter freezing strategy\",\"authors\":\"Yu Ao, Shaofan Li, Yunbo Li, Jiaye Gong\",\"doi\":\"10.1080/20464177.2024.2330174\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Designing a ship hull to keep the hydrodynamic performance meet the requirements is an indispensable step in the ship's preliminary design. However, in the traditional design process, the design wo...\",\"PeriodicalId\":501496,\"journal\":{\"name\":\"Journal of Marine Engineering & Technology\",\"volume\":\"111 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Marine Engineering & Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/20464177.2024.2330174\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Marine Engineering & Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/20464177.2024.2330174","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The construction of a neural network proxy model for ship hull design based on multi-fidelity datasets and the parameter freezing strategy
Designing a ship hull to keep the hydrodynamic performance meet the requirements is an indispensable step in the ship's preliminary design. However, in the traditional design process, the design wo...
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