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嗅覺可視化技術(shù)在白酒識別中的應(yīng)用
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    研制了由30個(gè)可視化傳感器組成的可視化傳感器陣列，對4種白酒進(jìn)行了測試。通過主成分分析、聚類分析和BP神經(jīng)網(wǎng)絡(luò)對實(shí)驗(yàn)數(shù)據(jù)進(jìn)行了分析和識別。主成分分析表明可視化傳感器陣列不僅能夠很好地區(qū)分不同酒精度的白酒，而且也能區(qū)分酒精度相似、香型不同的白酒。聚類分析進(jìn)一步驗(yàn)證了主成分分析的結(jié)果，但部分樣本不能夠用聚類分析區(qū)分。利用BP神經(jīng)網(wǎng)絡(luò)對測試樣本識別，可以完全區(qū)分4種測試白酒。

    Abstract:

    Four kinds of Chinese liquors were detected by the colorimetric sensor array, which was composed of thirty chemoresponsive sensors. Principal component analysis (PCA), cluster analysis (CA) and back-propagation artificial neural network (BP-ANN) were used in the data analysis and pattern recognition. With principal component analysis, not only Chinese liquors could be identified according to alcoholicity, but also bouquet. Cluster analysis further proved the result of PCA, but some samples could not be classified by using this method. Finally, BP neural network was employed to identify the Chinese liquors, and the accuracy of recognition was 100%. This research shows the potential applications of the olfaction visualization technology for analyzing and identifying Chinese liquors.

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鄒小波,趙杰文,殷曉平,石吉勇.嗅覺可視化技術(shù)在白酒識別中的應(yīng)用[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2009,40(1):110-113.[J]. Transactions of the Chinese Society for Agricultural Machinery,2009,40(1):110-113.

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