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The BP Neural Network Model of Uncertainty Measurement

FANG Yaqun;WU Yifang;Department of Information Engineering,Jiangsu Food & Pharmaceutical Science College;Department of Basic Courses,Jiangsu Food & Pharmaceutical Science College;  
In view of the problem that measurement uncertainty evaluation mathematical model could not be expressed by the certain mathematical relationship,the BP neural network algorithm is introduced into the measurement of uncertainty evaluation,the influence factors of component that produce different uncertainty are taken as the inputs of neural network,and the synthetic uncertainty and expanding uncertainty are taken as the neural network outputs,with which the uncertainty evaluation mathematical model of neural network is established. Taking the uncertainty of measurement results with vernier caliper as research object,the mathematical model of uncertainty evaluation of BP neural network is applied to evaluate uncertainty.The simulation results show that the uncertainty evaluation results of BP neural network are good,high precision,close to the linear prediction.
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