Literature DB >> 23391010

Application of artificial neural networks (ANNs) in wine technology.

Halil Baykal1, Hatice Kalkan Yildirim.   

Abstract

In recent years, neural networks have turned out as a powerful method for numerous practical applications in a wide variety of disciplines. In more practical terms neural networks are one of nonlinear statistical data modeling tools. They can be used to model complex relationships between inputs and outputs or to find patterns in data. In food technology artificial neural networks (ANNs) are useful for food safety and quality analyses, predicting chemical, functional and sensory properties of various food products during processing and distribution. In wine technology, ANNs have been used for classification and for predicting wine process conditions. This review discusses the basic ANNs technology and its possible applications in wine technology.

Mesh:

Year:  2013        PMID: 23391010     DOI: 10.1080/10408398.2010.540359

Source DB:  PubMed          Journal:  Crit Rev Food Sci Nutr        ISSN: 1040-8398            Impact factor:   11.176


  4 in total

1.  Accurate Prediction of Sensory Attributes of Cheese Using Near-Infrared Spectroscopy Based on Artificial Neural Network.

Authors:  Belén Curto; Vidal Moreno; Juan Alberto García-Esteban; Francisco Javier Blanco; Inmaculada González; Ana Vivar; Isabel Revilla
Journal:  Sensors (Basel)       Date:  2020-06-24       Impact factor: 3.576

2.  Development of an Artificial Neural Network as a Tool for Predicting the Targeted Phenolic Profile of Grapevine (Vitis vinifera) Foliar Wastes.

Authors:  Maliheh Eftekhari; Abbas Yadollahi; Hamed Ahmadi; Abdolali Shojaeiyan; Mahdi Ayyari
Journal:  Front Plant Sci       Date:  2018-06-19       Impact factor: 5.753

Review 3.  Use of Multivariate Statistics in the Processing of Data on Wine Volatile Compounds Obtained by HS-SPME-GC-MS.

Authors:  Maria Tufariello; Sandra Pati; Lorenzo Palombi; Francesco Grieco; Ilario Losito
Journal:  Foods       Date:  2022-03-22

4.  Use of Artificial Neural Network Model for Rice Quality Prediction Based on Grain Physical Parameters.

Authors:  Pedro Sousa Sampaio; Ana Sofia Almeida; Carla Moita Brites
Journal:  Foods       Date:  2021-12-05
  4 in total

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