基于变分自编码器的实验设计

针对现有实验设计方法难以对复杂系统进行高效实验设计的问题, 本文提出了一种基于变分自编码器的实验设计方法, 首先利用实验历史记录数据训练变分自编码器将复杂的实验样本空间编码到一个较为简单的隐变量空间, 然后在该隐变量空间里进行取样, 最后通过解码器还原产生新的实验样本, 完成实验设计. 通过对比本文方法与数种基准实验设...

Design of Experiments Based on Variational Auto-encoder

Given that the existing design of experiments methods are unable to perform the efficient design of experiments for complex systems, this paper proposes a design of experiments method based on the variational auto-encoder. First, experimental historical data are used to train the variational auto-encoder to encode the complex experimental sample space into a relatively simple latent variable space. Then, samples are obtained from the latent variable space. Finally, new experimental samples are generated by the decoder through restoration, and the design of experiments is achieved. The performance of the proposed method in fitting the hit model of the straight-running torpedo is compared with those of several benchmark design of experiments methods. It is shown that with the same number of samples, the proposed method can optimize the design of experiments and improve the efficiency of the experiments.