Machine Learning ANN Models for Predicting Sensory Quality of Roasted Coffee Flavoured Sterilized Drink

Machine Learning ANN Models for Predicting Sensory Quality of Roasted Coffee Flavoured Sterilized Drink

<p><em>This paper highlights the significance of feedforward artificial neural network models for predicting shelf life of roasted coffee falvoured sterilized drink. Coffee is one of the most important products for trade in international market. Single as well as multilayer models were e...

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Bibliographic Details
Main Authors: Sumit GOYAL, Gyanendra Kumar GOYAL
Format: Article
Language:English
Published: Ediciones Universidad de Salamanca 2013-11-01
Series:Advances in Distributed Computing and Artificial Intelligence Journal
Subjects:
artificial neural network
machine learning
feedforward
shelf life prediction
bayesian regularization
roasted coffee
sensory quality
Online Access:https://revistas.usal.es/index.php/2255-2863/article/view/11276

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https://revistas.usal.es/index.php/2255-2863/article/view/11276

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