基于逐步判别分析与BP神经网络的电子鼻猪肉储藏时间预测.pdfVIP

基于逐步判别分析与BP神经网络的电子鼻猪肉储藏时间预测.pdf

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23 10 传 感 技 术 学 报 Vol. 23 No. 10 第 卷 第 期 20 10 10 CHINESE JOURNAL OF SENSORS AND ACTUATORS Oct. 20 10 年 月 * 23 Discrimination of Different Storage Time of Pork by Electronic Nose * HONG Xuezhen ,WANG Jun (Dep artment of Biosystems Engineering ,Zhej iang University ,Hangzhou 310029 ,China) Abstract :In this study ,a rapid detection method based on electronic nose for pork freshness was developed. An electronic nose (E-nose ,PEN 2)was employed to classify pork groups with different storage time (0 ~ 7 d),42 sam- ples were tested everyday. The mass of each sample was 10 g ,and the headspace-generated time was 5 min. The 60th data from the response of the E-nose was extracted for further analysis. After employing the Linear Discriminant Analysis (LDA),samples could be well classified according to their storage time. Stepwise Linear Discriminant A- nalysis (Step-LDA)and Back Propagation Neural Network (BPNN)were also employed to predict the storage time of the samples. The result showed that Step-LDA got 100% training accuracy with 97 . 92% prediction accuracy ,and BPNN got 94 . 17 % training accuracy with 93. 75% prediction accuracy. This study implied that electronic nose method could be expected to more wildly used on pork freshness detection. Key words :electronic nose ;detection ;Stepwise Linear Discriminant Analysis (Step-LDA);BPNN ;pork EEACC :7230J doi :10. 3969 /j . issn. 1004 - 1699. 2010. 10. 002 BP 基于逐步判别分析和 神经网络的电子 鼻猪肉储藏时间预测* *

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