Soft Sensor Development for Industrial Thickener using Neural Ordinary Differential Equation
Author:
Affiliation:
1. Northeastern University,School of Information Science & Engineering,Shenyang,China
2. BGRIMM Technology Group,Beijing,China
Funder
Research and Development
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10587298/10587321/10587805.pdf?arnumber=10587805
Reference24 articles.
1. A systematic review of paste technology in metal mines for cleaner production in China
2. Soft Sensing Model of Underflow Concentration for Thickener Process based on Data Reconciliation
3. Neural Network-Based Model Predictive Control of a Paste Thickener Over an Industrial Internet Platform
4. Continuous-Time Prediction of Industrial Paste Thickener System With Differential ODE-Net
5. A time-difference PLS based soft sensor method of underflow concentration for thickener in hydrometallurgy
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