Novel virtual sample generation using Gibbs Sampling integrated with GRNN for handling small data in soft sensing
Author:
Affiliation:
1. College of Information Science & Technology, Beijing University of Chemical Technology,Beijing,China,100029
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10165684/10165785/10166679.pdf?arnumber=10166679
Reference22 articles.
1. Dealing with small sample size problems in process industry using virtual sample generation: a Kriging-based approach
2. Data-driven Soft Sensors in the process industry
3. Data driven parallel prediction of building energy consumption using generative adversarial nets
4. A Virtual Sample Generation Method Based on Differential Evolution Algorithm for Overall Trend of Small Sample Data: Used for Lithium-ion Battery Capacity Degradation Data
5. Recognition and Structure from One 2D Model View: Observations on Prototypes, Object Classes and Symmetries
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Improved Virtual Sample Generation Method Based on Conditional Regions Denoising Diffusion Probabilistic Model for Soft Sensors with Small Data;2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS);2024-05-17
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