Soft Sensor Modeling Using Machine Learning for Fermentation Process: Taking the Marine Protease Fermentation Process as an Example

Zhu, Li, Zhu, Xianglin

ISBN 10: 6204207482 / ISBN 13: 9786204207483

Published by LAP LAMBERT Academic Publishing, 2021

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Bibliographic Details

• Title: Soft Sensor Modeling Using Machine Learning for Fermentation Process: Taking the Marine Protease Fermentation Process as an Example
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2021
• Language: English
• ISBN 10: 6204207482
• ISBN 13: 9786204207483
• Binding: paperback
• Condition: New
• Book Type: book

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Synopsis

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;- To propose exponential decreasing inertia weight strategy with PSO algorithm that exploits search space and thus by reducing large step lengths leads the PSO towards convergence to global optima; - To propose the fuzzy c-means clustering algorithm to cluster the sample data and compare the performances of the IPSO-LSSVM soft sensor model with standard PSO-LSSVM model on selected benchmarked regression datasets in terms of accuracy, mean square error, root mean square error, and mean absolute error.