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Determination of Freshness of Freshwater Fish Based on BP-ANN and Bio-impedance Characteristics

机译:基于BP-ANN和生物阻抗特性的淡水鱼新鲜度的测定

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The electrical properties of fish body will change during storage; this undoubtedly provides a new method to investigate the spoilage of fish. Based on virtual instrument technology and bio-impedance analysis method, a freshwater fish bio-impedance measurement system was built to investigate the bio-impedance characteristics of freshwater fish silver carp during storage. The result indicated that the impedance and phase decreased with post-mortem time, the accuracy of using impedance and phase angle index to determine fish freshness is 88.89% and 81.49. When taking the two parameters as the input, the TVB-N value as the output to build the ANN model to predict fish freshness, the model's accuracy is 97.44%, which improves the accuracy of determination fish freshness and provides a new method to determine fish freshness.
机译:鱼体的电气特性将在储存期间改变;这无疑提供了一种调查鱼类腐败的新方法。基于虚拟仪器技术和生物阻抗分析方法,建立了淡水鱼生物阻抗测量系统,以研究储存过程中淡水鱼银鲤的生物阻抗特性。结果表明,验证后的阻抗和相位减少,使用阻抗和相角指数的准确度,以确定鱼的新鲜度为88.89%和81.49。当将两个参数作为输入时,TVB-N值作为输出构建ANN模型以预测鱼类新鲜度,模型的准确性为97.44%,这提高了测定鱼类新鲜度的准确性,并提供了一种确定鱼类的新方法新鲜。

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