| 基于虚拟仪器的粮食水分检测系统神经网络温度补偿 |
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| 引用本文： | 张亚秋,吴文福,王刚.基于虚拟仪器的粮食水分检测系统神经网络温度补偿[J].中国粮油学报,2011,26(5):102-106. |
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| 作者姓名： | 张亚秋 吴文福 王刚 |
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| 作者单位： | 吉林大学生物与农业工程学院,长春,130022 |
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| 摘 要： | 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。
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| 关 键 词： | 神经网络 水分传感器 温度补偿 输出频率值 |
Neural Network Temperature Compensationfor Grain Moisture Detection System Based on Virtual Instrument |
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| Zhang Yaqiu,Wu Wenfu,Wang Gang.Neural Network Temperature Compensationfor Grain Moisture Detection System Based on Virtual Instrument[J].Journal of the Chinese Cereals and Oils Association,2011,26(5):102-106. |
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| Authors: | Zhang Yaqiu Wu Wenfu Wang Gang |
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| Affiliation: | Zhang Yaqiu Wu Wenfu Wang Gang(Schools of Biological and Agricultural Engineering,Jilin University,Changchun 130022) |
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| Abstract: | 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. |
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| Keywords: | neural network moisture sensor temperature compensation output frequency |
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