Using Neural Networks to Obtain Indirect Information about the State Variables in an Alcoholic Fermentation Process

Using Neural Networks to Obtain Indirect Information about the State Variables in an Alcoholic Fermentation Process

This work provides a manual design space exploration regarding the structure, type, and inputs of a multilayer neural network (NN) to obtain indirect information about the state variables in the alcoholic fermentation process. The main benefit of our application is to help experts reduce the time ne...

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Bibliographic Details
Main Authors: Anca Sipos, Adrian Florea, Maria Arsin, Ugo Fiore
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Processes
Subjects:
neural network
fermentation process
prediction application
Online Access:https://www.mdpi.com/2227-9717/9/1/74

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