基于虚拟仪器的粮食水分检测系统神经网络温度补偿

摘要

It was found that in the testing process of grain moisture content, the temperature changes on the system's output would have considerable impact and then affect the system's performance and measurement accuracy.Therefore, in order to eliminate the temperature effect on water measurements, temperature compensation on the moisture detection system using virtual instrument and artificial neural network, saying eliminating the influence of temperature through neural network modeling.%在进行粮食水分检测过程中发现,温度变化对系统的输出值影响很大,从而影响系统性能和测量准确度.为消除温度对水分测量值的影响,在虚拟仪器软件平台上采用人工神经网络法对水分检测系统进行温度补偿,即通过对神经网络建模达到消除温度的影响.