1) potential hazard of collision
潜在的碰撞危险
2) potential risk of collision
潜在碰撞危险度
4) risk of collision
碰撞危险
1.
A fuzzy model is presented to express the risk of collision between ships.
采用模糊理论方法建立船舶碰撞危险度的数学模型 ,并对其中的关键因素安全域 (Domain)和动界(Arena)采用BP神经网络根据专家知识进行学习 。
2.
Authors use three systems, Fuzzy Reasoning System, Neural Network System and Adaptive Network-based Fuzzy Inference System, to assess the risk of collision and analyse the differences among them.
应用模糊推理系统、神经网络系统以及基于自适应神经网络的模糊推理系统对船舶碰撞危险评价进行了研究， 并对这三种推理机制进行了比较。
3.
This paper analysises the clause of the rule and some cases at first,then points out the overtaking rulers application is based on the factors which lead to the overtaking situation not on the risk of collision.
追越条款的适用是否以两船存在碰撞危险为条件,历来存在不同的观点,笔者通过对案件和《规则》条文的分析,提出追越条款的适用不是以两船存在碰撞危险为前提,只要符合构成追越局面的条件,不论当时两船是否存在碰撞危险,追越条款就开始适用。
5) collision risk
碰撞危险
1.
Fuzzy identification method for collision risk assessment of multi-ships encounter situation;
多船会遇碰撞危险的模糊识别评价方法
2.
In assessing current airspace safety,it is necessary to quantify collision risk(the number of collision per flying hour),and compare the result with an acceptable Target Level of Safety(TLS),so as to decide whether the airspace is safe enough.
对现行空域进行安全性评估时,需要对空域中碰撞危险次数进行量化(每飞行小时碰撞次数),并与一个可接受的安全目标等级进行比较,以判断空域的安全性。
3.
Authors use back propagation learning algorithm of neural network to make assessment of ship collision risk.
笔者将人工神经网络的ＢＰ学习算法用于船舶碰撞危险评价的研究，试图用神经网络的ＢＰ算法代替模糊推理系统。
6) risk of collision
碰撞危险度
1.
On basis of developed results of this system, this paper discusses the evaluation of the risk of collision (ROC) integrating multi-encountered ships.
本文在总结目前的研究成果的同时,结合多船会遇的实际情况和船舶避让行为特点进行碰撞危险度评价。
补充资料：人群特异危险度
人群特异危险度
是测量在人群中因暴露于某因素所致的发病率或死亡率。从公式表示：PAR＝It-Iu式中It——全人群某病发病率或死亡率Iu——非暴露者某病发病率或死亡率人群特异危险度百分比(PAR%)是人群由因暴露于某因素所致病或死亡占人群发病或死亡的百分比。PAR%＝〓〓It-Iu〓〓It〓〓×100%
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条