Integrating virtual sample generation with input-training neural network for solving small sample size problems: application to purified terephthalic acid solvent system-Reference-Cited by-同舟云学术

Integrating virtual sample generation with input-training neural network for solving small sample size problems: application to purified terephthalic acid solvent system

Published:2021-02-27 Issue:8 Volume:25 Page:6489-6504
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Chen Zhong-Sheng^ORCID,Zhu Qun-Xiong,Xu Yuan,He Yan-Lin,Su Qing-Lin,Liu Yiqing C.,Nagy Zoltan K.

Funder

National Natural Science Foundation of China

China Scholarship Council State-Sponsored Scholarship Program

Fundamental Research Funds for the Central Universities

Open Research Fund of State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00500-021-05641-4.pdf

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