Soft Sensor Modeling Using Machine Learning for Fermentation Process
Li ZhuXianglin Zhu
Broschiertes Buch

Soft Sensor Modeling Using Machine Learning for Fermentation Process

Taking the Marine Protease Fermentation Process as an Example

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The aim of the present book has been to develop soft sensor solutions for upstream bioprocessing and demonstrate their usefulness in improving robustness and increasing the batch-to-batch reproducibility in bioprocesses. This book study encompasses the following objectives:- To propose and compare the performance of successive projection algorithm with grey relation analysis algorithm in terms of auxiliary variables selection; - To propose and compare the performance of SPA-GWO-SVR soft sensor model with SPA-SVR model in terms of accuracy, root mean square error, coefficient determination R2;-...