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Cyranose 320电子鼻用于沉香油分类识别

来源: Wahyu Hidayat *, Ali Yeon Md. Shakaff, Mohd Noor Ahmad and Abdul Hamid Adom  发布日期: 2019-04-09  点击次数: 16


Presently, the quality assurance of agarwood oil is performed by sensory panels which has significant drawbacks in terms of objectivity and repeatability. In this paper, it is shown how an electronic nose (Cyranose 320) may be successfully utilised for th...
 

Classification of Agarwood Oil Using an Electronic Nose

Wahyu Hidayat *, Ali Yeon Md. Shakaff, Mohd Noor Ahmad and Abdul Hamid Adom

Abstract: Presently, the quality assurance of agarwood oil is performed by sensory panels which has significant drawbacks in terms of objectivity and repeatability. In this paper, it is shown how an electronic nose (Cyranose 320) may be successfully utilised for the classification of agarwood oil. Hierarchical Cluster Analysis (HCA) and Principal Component Analysis (PCA), were used to classify different types of oil. The HCA produced a dendrogram showing the separation of e-nose data into three different groups of oils. The PCA scatter plot revealed a distinct separation between the three groups. An Artificial Neural Network (ANN) was used for a better prediction of unknown samples

Cyranose 320 运用ANN算法


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