An approach to unfold the response of a multi-element system using an artificial neural network

E. Cordes, G. Fehrenbacher, R. Schutz, M. Sprunck, K. Hahn, R. Hofmann, J. Biersack, W. Wahl
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引用次数: 19

Abstract

An unfolding procedure is proposed which aims at obtaining spectral information of a neutron radiation field by the analysis of the response of a multi-element system consisting of converter type semiconductors. For the unfolding procedure an artificial neural network (feed forward network), trained by the back-propagation method, was used. The response functions of the single elements to neutron radiation were calculated by application of a computational model for an energy range from 10/sup -2/ eV to 10 MeV. The training of the artificial neural network was based on the computation of responses of a six-element system for a set of 300 neutron spectra and the application of the back-propagation method. The validation was performed by the unfolding of 100 computed responses. Two unfolding examples were pointed out for the determination of the neutron spectra. The spectra resulting from the unfolding procedure agree well with the original spectra used for the response computation.
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一种利用人工神经网络展开多元素系统响应的方法
提出了一种通过分析由转换型半导体组成的多元素系统的响应来获取中子辐射场光谱信息的展开方法。在展开过程中,采用了反向传播方法训练的人工神经网络(前馈网络)。应用10/sup -2/ eV ~ 10 MeV能量范围的计算模型,计算了单元素对中子辐射的响应函数。人工神经网络的训练是基于六元系统对300个中子谱的响应计算和反向传播方法的应用。通过对100个计算响应的展开进行验证。给出了测定中子能谱的两个展开例子。展开过程得到的谱与用于响应计算的原始谱吻合较好。
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