WANG Xiaoqiang1, 2 TUO Xianguo3, 4 WU Xuemei1 LI Zhe1 1. Application of BP network to nonlinear rectification of non-closed LRAD monitoring pipe interiors[J]. Nuclear techniques, 2012, 35(12): 901-906.
WANG Xiaoqiang1, 2 TUO Xianguo3, 4 WU Xuemei1 LI Zhe1 1. Application of BP network to nonlinear rectification of non-closed LRAD monitoring pipe interiors[J]. Nuclear techniques, 2012, 35(12): 901-906.DOI:
Background: The accuracy for multi-parameter of long range alpha detector(LRAD) system needs to be improved.Purpose: To overcome the nonlinear effect on accuracy and have the measurements corrected.Methods: Key-parameter characteristics that affect open LRAD monitoring inside on-site pipes were analyzed.Based on the 352 groups of data from key-parameter characteristics analyzing
this paper adopted BP neural network to train and predict the measurements.Results: The predicted result has a good consistence with measurement
and the mean percentage error of the result is less than 5%.Conclusions: Using BP to predict the analysis result of LRAD has a good accurate
and besides
overcomes the impact of the system of nonlinear basically on condition of satisfying the radioactivity measurements of the law of statistical fluctuations.