| 基于D-S证据理论的鸡蛋新鲜度多传感器融合识别 |
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| 引用本文： | 刘鹏,屠康,潘磊庆,张伟.基于D-S证据理论的鸡蛋新鲜度多传感器融合识别[J].农业机械学报,2011,42(8):122-127. |
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| 作者姓名： | 刘鹏 屠康 潘磊庆 张伟 |
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| 作者单位： | 南京农业大学食品科技学院,南京,210095 |
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| 基金项目： | 国家高技术研究发展计划(863计划)资助项目(2007AA10Z213);江苏省科技攻关项目（BE2007320）;南京农业大学青年创新基金资助项目（Y200827） |
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| 摘 要： | 为提高无损检测在判断鸡蛋新鲜度方面的稳定性和模型适应性,通过D-S证据理论和BP神经网络将电子鼻和机器视觉两种传感器在特征层进行融合,构建了鸡蛋新鲜度的融合模型.探讨了一种可以弥补D-S证据在信息融合过程中不足的改进方法.验证试验结果表明:通过融合优化,不确定性的基本概率赋值下降到0.01以内,解决了单一检测方法检测模...
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| 关 键 词： | 鸡蛋 新鲜度 D-S证据理论 多传感器融合 BP神经网络 |
Non-destructive Egg Freshness Recognition Using Multi-sensor Fusion Based on D-S Evidence Theory |
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| Liu Peng,Tu Kang,Pan Leiqing and Zhang Wei.Non-destructive Egg Freshness Recognition Using Multi-sensor Fusion Based on D-S Evidence Theory[J].Transactions of the Chinese Society of Agricultural Machinery,2011,42(8):122-127. |
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| Authors: | Liu Peng Tu Kang Pan Leiqing and Zhang Wei |
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| Institution: | Nanjing Agricultural University;Nanjing Agricultural University;Nanjing Agricultural University;Nanjing Agricultural University |
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| Abstract: | For the purpose of enhancing the detecting stability and the model adaptability of egg freshness by non-destructive detection method,a sensor fusion was taken by the machine vision and electronic nose in the sensor level of characteristics while D-S evidence theory was chosen as the sensor information fusion method and BP artificial neural network as the specific modeling method.An improved method that could remedy for the deficiency of D-S evidence theory was discussed.Verification results showed that the ... |
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| Keywords: | Egg Freshness D-S evidence theory Multi-sensor fusion BP neural network |
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