A virtual sample generation approach based on a modified conditional GAN and centroidal Voronoi tessellation sampling to cope with small sample size problems: Application to soft sensing for chemical process-Reference-Cited by-同舟云学术

A virtual sample generation approach based on a modified conditional GAN and centroidal Voronoi tessellation sampling to cope with small sample size problems: Application to soft sensing for chemical process

Published:2021-03 Issue: Volume:101 Page:107070
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Chen Zhong-Sheng,Hou Kun-Rui,Zhu Mei-Yu,Xu Yuan,Zhu Qun-Xiong

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Software

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5. Data-driven modeling based on two-stream λ gated recurrent unit network with soft sensor application;Xie;IEEE Trans. Ind. Electron.,2019

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