Advantages of Artificial Neural Network in Neutron Spectra Unfolding

作者：Zhu Qing Jun^*; Tian Li Chao; Yang Xiao Hu; Gan Long Fei; Zhao Na; Ma Yan Yun

来源：Chinese Physics Letters, 2014, 31(7): 072901.

DOI：10.1088/0256-307X/31/7/072901

Advantages of using the artificial neural network method in neutron spectra unfolding are investigated in comparison with the maximum entropy unfolding method. By introducing the information entropy theory, we find that for the spectrum with the information entropy over 3.5, the four-layer feed-forward neural network (11-35-55-60) and the maximum entropy method generally demonstrate the same unfolding performance, while the spectrum with the information entropy lower than 3.5, the artificial neural network unfolding model is recommend due to the fact that the artificial neural network method has a stronger negative correlation between the entropy of the spectra and the mean squares error of the spectra than the maximum entropy method.

• 出版日期2014-7
• 单位中国人民解放军国防科学技术大学