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Research on Multidisciplinary Design Optimization based response Surface Technology of Artificial Neural Network

机译:基于多学科设计优化的人工神经网络响应面技术研究

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摘要

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.
机译:在本文中,我们通过神经网络构建了响应面模具,阐述了响应面的概念和数学描述。通过一个真实的例子,我们解决了多学科的耦合关系以及基于响应表面的多学科设计的许多学科的合成协调。我们通过神经网络的响应面完成每个子学科的数据交换和协调,并接近最佳解决方案。该研究表明,用神经网络构建的响应面模可以减少分析时间并在很大程度上提高精度,并帮助我们最终寻求更好的设计。

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