Hybrid physics‐based and data‐driven modeling for bioprocess online simulation and optimization-Reference-Cited by-同舟云学术

Hybrid physics‐based and data‐driven modeling for bioprocess online simulation and optimization

Author:

Zhang Dongda¹²^ORCID,Del Rio‐Chanona Ehecatl Antonio²^ORCID,Petsagkourakis Panagiotis¹³,Wagner Jonathan⁴^ORCID

Affiliation:

1. Centre for Process Integration, The MillUniversity of Manchester Manchester UK

2. Centre for Process Systems Engineering, South Kensington CampusImperial College London London UK

3. Centre for Process Systems EngineeringUniversity College London London UK

4. Department of Chemical EngineeringLoughborough University Loughborough Leicestershire UK

Funder

Engineering and Physical Sciences Research Council

Publisher

Wiley

Subject

Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Link

Reference30 articles.

2. Antoniou A. Storkey A. &Edwards H.(2017). Data Augmentation Generative Adversarial Networks. Retrieved fromhttp://arxiv.org/abs/1711.04340

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