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Research on Constructing Surrogate Model of Rocket Aerodynamic Discipline Using Extreme Learning Machine

机译:极限学习机构建火箭气动学科替代模型的研究。

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摘要

In order to decrease the long time consuming of the aerodynamic numerical calculation in the multi-discipline designing of the rocket, this paper proposed a surrogate model of rocket aerodynamic based on extreme learning machine, and described the process to construct the surrogate model in detail. Based on aerodynamic surrogate model of a rocket, this paper evaluated the precision of the surrogate model with a small learning sample, and it proved that this method is very feasible and effective.
机译:为了减少火箭多学科设计中空气动力学数值计算的耗时,提出了一种基于极限学习机的火箭空气动力学替代模型,并详细描述了构建替代模型的过程。基于火箭的空气动力学替代模型,本文通过少量学习样本对替代模型的精度进行了评估,证明了该方法的可行性和有效性。

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