神经网络在人类味觉中的应用

Akira Suganuma, Masato Kataoka, K. Araki
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引用次数: 2

摘要

作者描述了人工神经网络(ANN)在味觉方面的应用。最近研制出了一种味觉传感器。虽然味觉传感器对各种味觉物质有反应,但很难对每种物质的浓度做出反应。描述了识别传感器响应并将其映射到物质浓度的尝试。当用分析的方法来解决这个问题时,并没有产生预期的效果。用人工神经网络估计每种味道物质强度的方法是成功的。最后给出了实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of a neural network to human tasting
The authors describe the application of an artificial neural network (ANN) to represent the sense of taste. A taste sensor has been developed recently. Though the taste sensor responds to various taste substances, it was very difficult to map the responses to a concentration of each substance. The attempt to recognize the sensor response and map them to the concentration of the substances is described. When an analytical approach was applied to this problem, it did not bring about the desired effect. A method to estimate the strength of each taste substance with an ANN was successful. The results of the experiment are presented.<>
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