摘要
为提高船载危险货物集装箱开箱检查的准确性和检查效率,该研究借鉴人工查找瞒报谎报危险货物集装箱的成功经验,建立了目标箱评估指标体系,同时,采用神经网络评估方法建立非线性的目标箱评估模型并进行实例验证。
In order to improve the accuracy and efficiency of targeting those marine containers packed with dangerous goods for open-door inspection,this paper introduces a set of assessment index system for targeting the containers packed with dangerous goods on basis of the successful experience of manually identifying and targeting the containers.This paper also sets up a nonlinear model of assessment of targeting dangerous goods containers through the method of neural network and provides some cases for verification.
出处
《中国海事》
2010年第6期48-51,共4页
China Maritime Safety
关键词
船载危险货物集装箱
神经网络
开箱检查
目标箱
建模
Dangerous goods containers carried by ships
neural networks
open-door inspection
targeting containers
modeling