Parameter Identification Concept for Process Models Combining Systems Theory and Deep Learning-Reference-Cited by-同舟云学术

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Parameter Identification Concept for Process Models Combining Systems Theory and Deep Learning

Published:2022-06-08 Issue: Volume: Page:
ISSN:
Container-title:ECP 2022
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Author:

Selvarajan Subiksha,Tappe Aike Aline,Heiduk Caroline,Scholl Stephan,Schenkendorf René^ORCID

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/19/1/27/pdf

Reference19 articles.

1. Identification of Parametric Models from Experimental Data;Walter,1997

2. Real-time adaptive input design for the determination of competitive adsorption isotherms in liquid chromatography

3. Model-based tools for optimal experiments in bioprocess engineering

4. Flatness and defect of non-linear systems: introductory theory and examples

5. Nonlinear Control and Filtering Using Differential Flatness Approaches;Rigatos,2015

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hybrid learning integration of iterative weighted least squares and backpropagation neural networks for advanced manufacturing analysis;The International Journal of Advanced Manufacturing Technology;2024-08-08

2. Process Model Inversion in the Data-Driven Engineering Context for Improved Parameter Sensitivities;Processes;2022-09-02

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