Probabilistic Nonlinear Soft Sensor Modeling Based on Generative Topographic Mapping Regression

Probabilistic Nonlinear Soft Sensor Modeling Based on Generative Topographic Mapping Regression

Projection regression is an important tool for process soft sensing in order to eliminate redundant information and obtain proper data features. As most industrial process is intrinsically nonlinear and process variables are collected in random noise environment, it is significant to adopt probabili...

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Bibliographic Details
Main Authors: Xiaofeng Yuan, Zhiwen Chen, Yalin Wang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Soft sensor
generative topographic mapping (GTM)
generative topographic mapping regression (GTMR)
nonlinear modeling
quality prediction
Online Access:https://ieeexplore.ieee.org/document/8270569/

Internet

https://ieeexplore.ieee.org/document/8270569/

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