A novel framework for analyzing MOS E-nose data based on voting theory: Application to evaluate the internal quality of Chinese pecans

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• 作者：Shui JiangAuthor Vitae ; Jun Wang ; ^{jwang@zju.edu.cn}Author Vitae ; Yongwei WangAuthor Vitae ; Shaoming ChengAuthor Vitae
• 关键词：Chinese pecans ; Electronic nose ; Fatty acids ; Nondestructive detection ; Voting method
• 刊名：Sensors and Actuators B: Chemical
• 出版年：2017
• 出版时间：April 2017
• 年：2017
• 卷：242
• 期：Complete
• 页码：511-521
• 全文大小：2012 K
• 卷排序：242

文摘

A MOS E-nose was applied to detect Chinese pecans at different storage times. We proposed a novel voting method to classify different samples. The accuracy rate of classification is improved to 96% by using voting method. Six prediction models of fatty acids contents were built based on random forest.