摘要
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。
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.
出处
《肉类研究》
2011年第11期6-9,共4页
Meat Research
基金
北京市自然科学基金项目(4092025)
国家"863"计划项目(2007AA10Z212)
