期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Application of artificial neural networks for unfolding neutron spectra by using a scintillation detector 被引量:5
1
作者 YAN Jie LIU Rong +2 位作者 LI Cheng JIANG Li WANG Mei 《Science China(Physics,Mechanics & Astronomy)》 SCIE EI CAS 2011年第3期465-469,共5页
The unfolding of neutron spectra from the pulse height distribution measured by a BC501A scintillation detector is accomplished by the application of artificial neural networks (ANN). A simple linear neural network wi... The unfolding of neutron spectra from the pulse height distribution measured by a BC501A scintillation detector is accomplished by the application of artificial neural networks (ANN). A simple linear neural network without biases and hidden layers is adopted. A set of monoenergetic detector response functions in the energy range from 0.25 MeV to 16 MeV with an energy interval of 0.25 MeV are generated by the Monte Carlo code O5S in the training phase of the unfolding process. The capability of ANN was demonstrated successfully using the Monte Carlo data itself and experimental data obtained from the Am-Be neutron source and D-T neutron source. 展开更多
关键词 人工神经网络 闪烁探测器 中子谱 应用 响应函数 蒙地卡罗 中子源 谱展开
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部