一种基于BP神经网络的γ能谱识别方法

A study of nuclear components identification method based on BP neural network

从军控现场核查过程中敏感信息保护的目的出发,对利用BP神经网络技术通过γ能谱识别核部件类型的方法进行了初步研究。实验时识别正确率达到98%以上,说明利用神经网络技术识别核部件是一种切实可行的方法。

Taking sensitive information protection into consideration, the technique of identifying nuclear components types by gamma spectrum with the use of BP neural network is discussed in this paper. The identification accuracy exceeds 98 percent. The experiment results show that using BP neural network to identify the nuclear components is feasible.