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RCC

于 2013-09-04 发布 文件大小:2KB
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  核查的关键在于对核材料属性准确、有效地识别[1][2]。利用252Cf作为随机脉冲中子源,对其入射核材料所产生的诱发裂变中子脉冲信号进行采集、处理和分析,得到自相关、互相关、自/互功率谱、功率谱密度比等一系列参数,从而反演核材料内部的反应性的情况,便可用于分析和识别核材料,其基本原理就是252Cf中子源驱动噪声分析测量法[(The result shows that the trained Elman neural network is able to identify the characteristics of correlation function, to distinguish different concentrations, and the average recognition rate reaches 90 , with high robustness.)

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