Novel Bayesian framework for dynamic soft sensor based on support vector machine with finite impulse response
Conventional data-driven soft sensors commonly rely on the assumption that processes are
operating at steady states. As chemical processes involve evident dynamics, conventional …
operating at steady states. As chemical processes involve evident dynamics, conventional …
[PDF][PDF] Novel Bayesian Framework for Dynamic Soft Sensor Based on Support Vector Machine With Finite Impulse Response
C Shang, X Gao, F Yang, D Huang - IEEE TRANSACTIONS ON …, 2014 - researchgate.net
Conventional data-driven soft sensors commonly rely on the assumption that processes are
operating at steady states. As chemical processes involve evident dynamics, conventional …
operating at steady states. As chemical processes involve evident dynamics, conventional …
Novel Bayesian Framework for Dynamic Soft Sensor Based on Support Vector Machine With Finite Impulse Response
C Shang, X Gao, F Yang, D Huang - IEEE Transactions on Control …, 2014 - infona.pl
Conventional data-driven soft sensors commonly rely on the assumption that processes are
operating at steady states. As chemical processes involve evident dynamics, conventional …
operating at steady states. As chemical processes involve evident dynamics, conventional …
[PDF][PDF] Novel Bayesian Framework for Dynamic Soft Sensor Based on Support Vector Machine With Finite Impulse Response
C Shang, X Gao, F Yang, D Huang - IEEE TRANSACTIONS ON …, 2014 - academia.edu
Conventional data-driven soft sensors commonly rely on the assumption that processes are
operating at steady states. As chemical processes involve evident dynamics, conventional …
operating at steady states. As chemical processes involve evident dynamics, conventional …