Research on Multidisciplinary Design Optimization Based Response Surface Technology of Artificial Neural Network

Hanyun Wen, Jie Hu
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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.
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基于人工神经网络响应面技术的多学科设计优化研究
本文通过神经网络构造了响应面模型,阐述了响应面的概念和数学描述。通过实例,解决了多学科间的耦合关系以及基于响应面的多学科设计中多学科间的综合协调问题。我们通过神经网络的响应面完成了各子学科之间的数据交换和协调,并逼近了最优解。研究表明,利用神经网络构建的响应面模型可以在很大程度上减少分析时间,提高分析精度,最终有助于我们寻求更好的设计。
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