用神经网络进行葡萄酒识别

Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174) Pub Date : 1998-03-21 DOI:10.1109/IJSIS.1998.685488

M. Gaeta, M. Marsella, S. Miranda, S. Salerno

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引用次数: 5

摘要

本文对葡萄酒吸收光谱特征分类的数学模型进行了研究和研究，以改善装瓶过程中生产的一些关键方面。所描述的分类器模型基于神经网络，对阿特里帕尔达葡萄酒公司“M. Mastroberardino”生产的各种类型的葡萄酒进行识别和分类。

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Using neural networks for wine identification

This paper presents a study and research on mathematical models for the classification of wine absorption spectrum characteristics in order to improve some critical aspects of the production in the bottling process. The classifier model described, based on neural networks, performs both recognition and classification of various typologies of wine produced from the wine firm "M. Mastroberardino" of Atripalda.

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Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174)

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