摘要
基于人工神经网络及BP网络原理,建立了辐射源安全评估体系的数学模型。通过MATLAB仿真软件对模型进行训练,逐步改善影响辐射源安全评估的各因素权值,使网络样本的实际输出与期望输出误差和均方差达到最小。经仿真计算,BP网络评估方法具有较好的评价辨识精度。
Based on artificial neural network and BP network principle, a mathematical model of radioactive sources safety assessment system is built. To train the model using MATLAB simulation software and improve the factor weight influencing radioactive sources safety assessment gradually can obtain the minimal value of mean-square error between the actual output and the expected output of the network sample. It is proved by simulation calculation that BP network method has the better precision.
出处
《辐射防护》
CAS
CSCD
北大核心
2011年第5期264-272,共9页
Radiation Protection
基金
国家科技支撑计划“放射源监管与处置若干关键技术研究”(项目编号2007BAK32B00)
关键词
BP网络
辐射源安全评估
MATLAB仿真
BP Neural Network
Radioactive Sources Safety Assessment
MATLAB Simulation
