A Hybrid Strategy Enhanced Sub-Sampled Recursive Second Order Algorithm for Chemical Process Intelligent Identification

A Hybrid Strategy Enhanced Sub-Sampled Recursive Second Order Algorithm for Chemical Process Intelligent Identification

Abstract The accurate dynamic model of the chemical process is an important condition for the successful implementation of advanced control in the plant. In this paper, an efficient second order algorithm for long short-term memory (LSTM) network training is proposed for chemical process intelligent...

Full description

Bibliographic Details
Main Authors: Yaxin Wang, Baochang Xu
Format: Article
Language:English
Published: Springer 2023-07-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Chemical process modeling
Deep learning
Intelligent identification
Second order learning algorithm
Advanced process control
Online Access:https://doi.org/10.1007/s44196-023-00296-5

Internet

https://doi.org/10.1007/s44196-023-00296-5

Similar Items