Virtual Sample Generation Method Based on Feature Scaling and Co-training Label for Industrial Data Modeling
Author:
Affiliation:
1. Beijing University of Technology,Faculty of Information Technology,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10326186/10327501/10327556.pdf?arnumber=10327556
Reference30 articles.
1. Novel space projection interpolation based virtual sample generation for solving the small data problem in developing soft sensor
2. A survey of virtual sample generation for complex industrial processes;tang;Acta Autom Sin,2023
3. A novel and effective nonlinear interpolation virtual sample generation method for enhancing energy prediction and analysis on small data problem: A case study of Ethylene industry
4. Integrating virtual sample generation with input-training neural network for solving small sample size problems: application to purified terephthalic acid solvent system
5. Takagi–Sugeno fuzzy regression trees with application to complex industrial modeling;xia;IEEE Trans Fuzzy Syst,2022
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