摘要
双向加力式电子天平的电路结构不适于用硬件进行温度补偿,尝试利用神经网络的方法实现温度补偿.研究发现电子天平在相同质量全温度场下质量示值的漂移是一个非线性的关系,在同温度全质量场下的质量示值呈线性关系.根据这两个重要特性,利用神经网络对双向加力式电子天平进行温度补偿.结果表明,新的温度补偿方法实用性强,精度高,能有效提高电子天平计量精度.
The circuit structure of a bidirectionally forced electronic balance is unsuitable for temperature compensation if using hardwares. An attempt is therefore made to apply the neural network to the balance for temperature compensation. It is found that the drift of mass indicating values changes nonlinearly if placing the balance in a full temperature field where the ..mass remains unchanged. On the other hand, the drift changes linearly if placing the balance in a full mass field where the temperature remains unchanged. Based on the two important characteristics, the neural network is applied to the balance for temperature compensation. The result indicates that the new way to compensate temperature is highly practical and precise to improve effectively the metering accuracy of electronic balance.
出处
《东北大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2006年第4期371-374,共4页
Journal of Northeastern University(Natural Science)
基金
国家自然科学基金资助项目(60574050)
关键词
温度补偿
双向加力式电子天平
质量示值
神经网络
网络训练
temperature compensation
bidirectionally forced electronic balance
ma~ indicating value
neural network
network training
