摘要
放射性测量过程中,受仪器本身和外界环境的影响,需要对仪器性能进行检查。介绍了GR-660车载伽玛能谱测量系统,对仪器的稳定性和重复性进行了实验分析。介绍了噪声调整后奇异值分解方法和自适应神经网络模糊系统分析方法,通过处理航空标准模型实测数据来对两种方法进行了比较分析,应用变异系数方法对区域铀含量进行了分析。
The apparatus＇ s capability should be checked for data collected being infected by the detection system and environment during radiation survey. This article introduces GR-660 car gamma-ray spectral survey system and analyzes the apparatus＇ s stability and repeatability through experiment. Data processing methods of noise adjusted singular value decomposition and adaptive network-based fuzzy inference system have been introduced for reducing statistical noise in car Gamma-ray spectral data, and which have been analyzed comparatively by using these methods to process survey data of airborne standard model; applied the method of variance coefficient on analysis uranium content results of these methods have been analyzed.
出处
《东华理工大学学报（自然科学版）》
CAS
2008年第3期265-268,共4页
Journal of East China University of Technology(Natural Science)
关键词
车载伽玛能谱测量
噪声调整后奇异值分解
自适应神经网络模糊系统
变异系数
car gamma-ray spectral survey
noise adjusted singular value decomposition
adaptive network- based fuzzy inference system
coefficient of variance
