Development of Artificial Neural Network Models to Assess Beer Acceptability Based on Sensory Properties Using a Robotic Pourer: A Comparative Model Approach to Achieve an Artificial Intelligence System

Artificial neural networks (ANN) have become popular for optimization and prediction of parameters in foods, beverages, agriculture and medicine. For brewing, they have been explored to develop rapid methods to assess product quality and acceptability. Different beers (<i>N</i> = 17) wer...

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Autores principales: Claudia Gonzalez Viejo, Damir D. Torrico, Frank R. Dunshea, Sigfredo Fuentes
Formato: Artigo
Lenguaje:Inglês
Publicado: MDPI AG 2019-05-01
Colección:Beverages
Materias:
beer acceptability
machine learning
robotics
fast-screening
automation
Acceso en línea:https://www.mdpi.com/2306-5710/5/2/33
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