| 基于RBF人工神经网络的γ能谱分析 |
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| 引用本文： | 王崇杰,贾慧慧,冯琳懿,刘硕,刘媛媛,张倩妮,张博超.基于RBF人工神经网络的γ能谱分析[J].核电子学与探测技术,2016(1):56-59. |
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| 作者姓名： | 王崇杰 贾慧慧 冯琳懿 刘硕 刘媛媛 张倩妮 张博超 |
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| 作者单位： | 辽宁师范大学物理与电子技术学院,大连,116029 |
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| 基金项目： | 辽宁省教育厅科学技术研究项目( No． L2013410)资助。 |
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| 摘 要： | 提出了基于人工神经网络的γ能谱定量分析方法。通过对标准源γ能谱的线性组合,建立了γ能谱分析网络训练样本集,并对RBF人工神经网络进行了训练。对已知标准点源不同测量时间的组合γ能谱和标准环境样品γ能谱进行了仿真分析,分析结果的相对误差分别小于3%和小于8%。研究表明,基于RBF人工神经网络的γ能谱分析方法是有效可行的。
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| 关 键 词： | 人工神经网络 RBF网络 γ能谱分析 线性时不变系统 线性叠加原理 |
γ-Spectra Analysis Based on RBF Artificial Neural Network |
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| Abstract: | A method of analyzing γ-spectra based on RBF ANN was introduced .The training sample sets were established by linearly combining the spectra of the standard radioactive sources that contain a single nuclide composition respectively ,and the RBF ANN was trained with these sample sets .The combination spectra by dif-ferent collecting time of the standard point sources and those of a standard environmental sample were analyzed . The deviation was less than 3%and 8%respectively .The results show that the method of analyzing γ-spectra based on RBF ANN is effective and feasible . |
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| Keywords: | artificial neural network γspectra RBF network linear time invariant system principle of linear superposition |
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