| 基于生物阻抗技术的淡水鱼新鲜度检测方法研究 |
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| 引用本文： | 薛大为,杨春兰.基于生物阻抗技术的淡水鱼新鲜度检测方法研究[J].西南民族学院学报(自然科学版),2014(4):603-607. |
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| 作者姓名： | 薛大为 杨春兰 |
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| 作者单位： | 蚌埠学院机械与电子工程系,安徽蚌埠233030 |
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| 基金项目： | 安徽省高等学校优秀青年人才基金项目（2012SQRL218）. |
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| 摘 要： | 针对单独以阻抗模值条件或相角条件对淡水鱼新鲜度检测存在判别准确度不高的问题,提出了综合阻抗模值和相角两个条件并结合神经网络对淡水鱼新鲜度进行检测的方法.以模值和相角作为输入因子,以TVB-N作为输出因子,建立了淡水鱼新鲜度3层BP神经网络预测模型.实验结果表明,该模型对于淡水鱼新鲜度判别准确率达到95%,相对于单独模值条件或相角条件判别,准确度显著提高.
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| 关 键 词： | 淡水鱼 新鲜度 阻抗特性 BP神经网络 |
Study on detection method of freshwater fish freshness based on bioimpedance technology |
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| XUE Da-wei,YANG Chun-lan.Study on detection method of freshwater fish freshness based on bioimpedance technology[J].Journal of Southwest Nationalities College(Natural Science Edition),2014(4):603-607. |
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| Authors: | XUE Da-wei YANG Chun-lan |
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| Institution: | (Department of Mechanical and Electronic Engineering, Bengbu College, Bengbu 233030, P.R.C.) |
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| Abstract: | Thinking of that freshwater fish freshness recognition accuracy rate was not high by using modulus of impedance or phase condition alone, the detection method of freshwater fish freshness which synthesized modulus and phase condition and combined neural network was proposed. The 3-layer predicted model of freshwater fish freshness was built by using the modulus and phase as the input factor, the TVB-N as the output factor. The experiment results showed that the recognition accuracy rate of this model was 95%. Relative to the recognition using modulus or phase condition, the accuracy was improved markedly. |
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| Keywords: | freshwater fish freshness impedance characteristic BP neural network |
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