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Using MLP networks to classify red wines and water readings of an electronic tongue

机译:使用MLP网络对电子舌头的红葡萄酒和水读数进行分类

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Feasible efforts have been made to mimic the human gustatory system through an "artificial tongue". This device comprises an array of sensing units that is able to differentiate tastes with a higher sensitivity than the biological system. Experimental results indicate that when the data generated by such sensing units are handled by artificial neural networks, this "artificial tongue" can successfully discriminate wines of different winemakers, vintage and grapes, as well as different brands of mineral water, distilled water and Milli-Q water The accuracy achieved by the experiments suggests that the sensing units may be used to detect abnormal chemical substances in a production line or even set a new approach to control quality standards in food industry.
机译:已经通过“人工舌头”模仿人体味觉系统的可行努力。该装置包括一种感测单元阵列,该传感单元能够区分具有比生物系统更高的灵敏度的味道。实验结果表明,当由人工神经网络处理这种传感单元产生的数据时,这种“人工舌”可以成功地区分不同的酿酒师,复古和葡萄的葡萄酒,以及不同品牌的矿泉水,蒸馏水和毫米Q水通过实验实现的精度表明,传感单元可用于检测生产线中的异常化学物质甚至设定一种控制食品工业中质量标准的新方法。

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