摘要
比较了密度与色度检测的优缺点,测试标准样张的密度和色度值,运用神经网络建立数学模型,对实验数据进行分析,弥补了密度和色度检测的缺点。
The advantages and disadvantages of density measurement were compared with those of color measurement. The density and chromaticity of the standard specimen were measured. Neural network was applied to set up mathematics model, experimental data was analyzed to make up the disadvantages of density and color measurements.
出处
《包装工程》
CAS
CSCD
北大核心
2007年第1期70-71,88,共3页
Packaging Engineering
关键词
密度检测
色度检测
BP神经网络
density measurement
color measurement
BP neural network