A data enhancement method based on generative adversarial network for small sample-size with soft sensor application

Zhongyi Zhang, Xueting Wang, Guan Wang, Qingchao Jiang, Xuefeng Yan, Yingping Zhuang

Abstract: Highlights•A data enhancement method based on generative adversarial network is proposed.•The method combines the advantages of data augmentation and feature selection.•Case studies on a simulated case and two real industrial processes are provided.•Comparisons to state-of-the-arts show effectiveness of the proposed method.