本文介绍了BP神经网络的基本原理,及在同位素能谱解释中的网络设计方法,并在MATLAB平台上实现了该分析方法,对同位素能谱示踪测井实验数据进行了BP神经网络解谱,实验结果表明,BP神经网络解析同位素沾污位置及含量的方法具有一定的潜力,可进一步深入研究。 This paper introduces the basic principle of BP neural network and the method of network design in the interpretation of isotope energy spectrum. The method is implemented on the MATLAB platform. The experimental data of isotope spectrum tracer logging are decomposed by BP neural network The experimental results show that BP neural network has certain potential for resolving the position and content of isotope contamination and can be further studied.