Soft Sensor Modeling Method for the Marine Lysozyme Fermentation Process Based on ISOA-GPR Weighted Ensemble Learning

Due to the highly nonlinear, multi-stage, and time-varying characteristics of the marine lysozyme fermentation process, the global soft sensor models established using traditional single modeling methods cannot describe the dynamic characteristics of the entire fermentation process. Therefore, this...

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Detalles Bibliográficos
Autores principales: Lu, Na, Wang, Bo, Zhu, Xianglin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675238/
https://www.ncbi.nlm.nih.gov/pubmed/38005505
http://dx.doi.org/10.3390/s23229119

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675238/
https://www.ncbi.nlm.nih.gov/pubmed/38005505
http://dx.doi.org/10.3390/s23229119

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