原子能科学技术2011，Vol.45Issue(11)：1393-1398,6.
基于支持向量机的环境γ剂量率模型
Environmental γ Dose Rate Model Based on Support Vector Machine
摘要
Abstract
The environment radiation monitoring system in nuclear power plant continuously monitors y dose rate. If the dose rate exceeds a predetermined threshold, the system will issue a warning. However, the radon and thorium daughters effects and the system noise and their periodic changes will result in fake alarm. In order to study these factors, a support vector machine model was established to classify the reasons of threshold exceeding. The model was tested by more than 2 000 groups of historical data. The results show that it can accurately classify the reasons, and the accuracy rate is more than 98%.关键词
γ剂量率/降雨强度/支持向量机/分类Key words
γ dose rate/ rainfall intensity/ support vector machine/ classification分类
资源环境引用本文复制引用
马元巍,王德忠,于文丹,朱月龙,张适..基于支持向量机的环境γ剂量率模型[J].原子能科学技术,2011,45(11):1393-1398,6.基金项目
教育部科技创新工程重大项目培育资金项目资助(708036) （708036）
