Deep Learning with Local Spatiotemporal Structure Preserving for Soft Sensor Development of Complex Industrial Processes

Author:

Wang Xiao,Qi Xiaomei,Zhang Yong

Publisher

Elsevier BV

Reference41 articles.

1. Input selection methods for data-driven soft sensors design: application to an industrial process;A Fc;Information Sciences,2020

2. A deep supervised learning framework for data-driven soft sensor modeling of industrial processes;X Yuan;IEEE Transactions on Neural Networks and Learning Systems,2019

3. Learning deep multimanifold structure feature representation for quality prediction with an industrial application;C Liu;IEEE Transactions On Industrial Informatics,2022

4. Domain adversarial neural network regression to design transferable soft sensor in a power plant;H S Farahani;Computers in Industry,2021

5. Adaptive non-linear soft sensor for quality monitoring in refineries using just-in-time learning-generalized regression neural network approach;S Vijayan;Applied Soft Computing,2022

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