基于Web的多元指标猪肉新鲜程度分级方法研究

摘要

In this paper, we proposed a data fusion algorithm, called PCNN （pulse coupled neural network） fire-counting for data, to assess pork freshness with a set of dissimilar sensors; in light of different dimensions of unit values from sensors, normalization preprocessing methods were used before calculation. Finally, we developed a real-time and online prototype system to determnie pork freshness based on Web technology.%围绕猪肉新鲜度的检测分级，提出了基于脉冲耦合神经网络（pulse coupled neural network，PcNN）点火计数的异质传感器数据融合方法，解决不同量纲的传感器数据融合的问题，并研发基于Web的多元指标猪肉新鲜程度分级原型系统。