Adaptive Soft Sensors for Non-Gaussian Chemical Process Plant Data Based on Locally Weighted Partial Least Square
This thesis proposes an improved algorithm attributed to its abilities to deal with non-Gaussian distributed and nonlinear data and missing measurements. It was formulated through a modification on locally weighted partial least square by incorporating an ensemble method, Kernel function and indepen...
| Main Author: | |
|---|---|
| Format: | Thesis |
| Published: |
Curtin University
2019
|
| Online Access: | http://hdl.handle.net/20.500.11937/77028 |