1 research outputs found
A marine radioisotope gamma-ray spectrum analysis method based on Monte Carlo simulation and MLP neural network
A multilayer perceptron (MLP) neural network is built to analyze the Cs-137
concentration in seawater via gamma-ray spectrums measured by a LaBr3 detector.
The MLP is trained and tested by a large data set generated by combining
measured and Monte Carlo simulated spectrums under the assumption that all the
measured spectrums have 0 Cs-137 concentration. And the performance of MLP is
evaluated and compared with the traditional net-peak area method. The results
show an improvement of 7% in accuracy and 0.036 in the ROC-curve area compared
to those of the net peak area method. And the influence of the assumption of
Cs-137 concentration in the training data set on the classifying performance of
MLP is evaluated.Comment: 13 pages, 11 figure