摘要
潜艇的战场态势判断是潜艇作战中的重要环节。一般情况下,对于战场态势是基于指挥员经验而判断的,其准确性不好,较强地依赖于战场指挥员的战术素养。由于不同潜艇战场态势决定不同目标的方位序列,提出了一种利用概率型径向基神经网络的方法,并通过目标方位序列与目标态势的一一对应关系,进行战场态势的判断。结果表明该方法具有较好的识别能力。
the battlefield situation estimate is the important factor in the submarine war. Commonly, the estimate of battlefield situation is based on the commanders＇ experiences, not accurate. Because different battlefield situation decides different target azimuth sequence, the new method of battlefield situation is put forward, using the probabilistic neural network which is very fit to character recognition. Results show that the method has better recognition capability.
出处
《火力与指挥控制》
CSCD
北大核心
2008年第10期110-112,共3页
Fire Control & Command Control
关键词
方位序列
态势判断
神经网络
径向基
azimuth sequence, situation estimate, neural network, radial-basis
