{"product_id":"li-zhu-soft-sensor-modeling-using-machine-learning-for-fermentation-process-9786204207483","title":"Soft Sensor Modeling Using Machine Learning for Fermentation Process","description":"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.","brand":"LAP LAMBERT Academic Publishing","offers":[{"title":"Default Title","offer_id":54749816914262,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0925\/5829\/5382\/files\/product_image_9786204207483_1.jpg?v=1790980256","url":"https:\/\/www.momoxbooks.com\/products\/li-zhu-soft-sensor-modeling-using-machine-learning-for-fermentation-process-9786204207483","provider":"momox","version":"1.0","type":"link"}