气味传感器采用石英谐振器阵列和神经网络模式识别

IEEE 1988 Ultrasonics Symposium Proceedings. Pub Date : 1988-10-02 DOI:10.1109/ULTSYM.1988.49450

T. Nakamoto, T. Moriizumi

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引用次数: 41

摘要

介绍了一种基于神经网络的气味识别实验。采用不同涂层的石英谐振器阵列，利用神经网络对其输出模式进行识别。经过训练后，网络可以识别出市售酒的各种气味。在数据采样和训练的循环过程中，传感系统对环境变化具有较强的适应性。即使在温度变化的情况下，也能保持较高的识别概率。

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Odor sensor using quartz-resonator array and neural-network pattern recognition

An experiment of odor identification using a neural network is described. A quartz-resonator array with different coating films was used, and its output pattern was recognized using a neural network. Various odors of commercially available liquors were identifiable by the network following training. The sensing system was adaptive to environmental variations during the cyclic process of the data sampling and training. High recognition probability was maintained even under temperature variations.<>

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IEEE 1988 Ultrasonics Symposium Proceedings.

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