a Department of Physical Chemistry, Faculty of Science , University of Vigo , Ourense , Spain.
b Nutrition and Bromatology Group, Department of Analytical and Food Chemistry ; Food Science and Technology Faculty, University of Vigo Ourense Campus , Ourense , Spain.
Crit Rev Food Sci Nutr. 2017 Sep 2;57(13):2896-2908. doi: 10.1080/10408398.2015.1078277.
Since their development in 1943, artificial neural networks were extended into applications in many fields. Last twenty years have brought their introduction into winery, where they were applied following four basic purposes: authenticity assurance systems, electronic sensory devices, production optimization methods, and artificial vision in image treatment tools, with successful and promising results. This work reviews the most significant approaches for neural networks in winemaking technologies with the aim of producing a clear and useful review document.
自 1943 年开发以来，人工神经网络已扩展到许多领域的应用。过去二十年，它们已被引入到酿酒领域，主要应用于以下四个基本目的：真实性保证系统、电子感官设备、生产优化方法和图像处理工具中的人工视觉，取得了成功和有前景的结果。本研究旨在提供一个清晰有用的综述文件，综述了神经网络在酿酒技术中的最显著方法。
