Configurate a Neural Network and/or a Genetic Algorithm that can simulate the white wine fermentation
Information
This Web application implements the following main features:
• User-customized Multi-Layer Perceptron (MLP) Neural Network (NN)
• Meta-heuristic optimization methods for NN hyperparameters
• Training and testing the tool based on experimental data
• Graphical visualization and comparison for the acquired findings
• Ready-to-use prediction tool for fermentation variables
TUTORIAL – How To Train Neural Network
TUTORIAL – How To Use Prediction Tool
Abstract
In this application you can configurate a Neural Network and/or a Genetic Algorithm that can simulate the white wine fermentation and based on your datasets you can observe the “Alcohol Concentration” and “Substrate” evolution in the fermentation process and after training you can test with some different parameters to see the results that can be obtained.
WineFermentation steps explanation
Disclaimer: This digital materials was realised with the EEA Financial Mechanism 2014-2021 financial support. Its content (text, photos, videos) does not reflect the official opinion of the Programme Operator, the National Contact Point and the Financial Mechanism Office. Responsibility for the information and views expressed therein lies entirely with the author(s)
