{"title":"Research on Multidisciplinary Design Optimization Based Response Surface Technology of Artificial Neural Network","authors":"Hanyun Wen, Jie Hu","doi":"10.1109/WGEC.2009.28","DOIUrl":null,"url":null,"abstract":"In the paper, we constructed the response surface mold through the neural network, elaborated the concept and mathematics description of the response surface. Through a real example, we solved the coupling relationship during multidisciplinary as well as the synthesis coordination of many disciplines with multidisciplinary design based on the response surface. We completed the data exchanging and coordinating during each sub-discipline through the response surface of neural network and approached the optimal solution. The research indicates that the response face mold constructed with neural network can reduce the analysis time and enhance the precision to a great extent and help us seek for better design finally.","PeriodicalId":277950,"journal":{"name":"2009 Third International Conference on Genetic and Evolutionary Computing","volume":"217 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Third International Conference on Genetic and Evolutionary Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WGEC.2009.28","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In the paper, we constructed the response surface mold through the neural network, elaborated the concept and mathematics description of the response surface. Through a real example, we solved the coupling relationship during multidisciplinary as well as the synthesis coordination of many disciplines with multidisciplinary design based on the response surface. We completed the data exchanging and coordinating during each sub-discipline through the response surface of neural network and approached the optimal solution. The research indicates that the response face mold constructed with neural network can reduce the analysis time and enhance the precision to a great extent and help us seek for better design finally.