小波分析及神经网络方法在核物理及核工程中的应用  

Applications of Wavelet Analysis and Neutral Networks in Nuclear Physics and Engineering

作　　者：于国梁[1] 侯龙[1] 张笑鹏[1] 王朝辉[1] 康国国[1] 王琦[1] 苏晓斌[1] 张一云[2] 

机构地区：[1]中国原子能科学研究院核物理所,北京102413 [2]四川大学物理科学与技术学院,四川成都610065

出　　处：《原子核物理评论》2012年第3期272-278,共7页Nuclear Physics Review

摘　　要：介绍了小波分析和神经网络方法在核物理及核工程领域的应用现状。分别对小波分析及神经网络方法的基本原理进行了介绍,详细讨论了小波变换中的多分辨分析方法在γ能谱平滑以及核电站设备监测等方面的应用,讨论了连续小波变换在γ能谱分析、粒子种类鉴别以及核反应堆安全监测等领域的应用。同时,还详细介绍了神经网络方法在以上各领域的发展现状。最后,展望了两种方法在核安全检测、核辐射防护以及核电站实时监控等领域的发展趋势。Applications of wavelet analysis and neutral networks in the field of nuclear physics and engi- neering are reviewed. The principle of these two methods are introduced briefly, and then the applications of multiresolution analysis technique in the smoothing of 7-ray spectroscopy, and in nuclear power plant monitoring are discussed in detail. Applications of the continuous wavelet analysis method in 7-ray spec- troscopy analysis, in particle identification , and in nuclear reactor safety monitoring are also talked over. In addition, the applications of neutral networks in above fields are introduced. Finally, the trends of the future development for these two methods are prospected.

关 键 词：小波分析 神经网络 多分辨分析 

分 类 号：TL814[核科学技术—核技术及应用] TL76