基于贝叶斯网的反潜直升机对潜艇的识别模型  

Anti-submarine Helicopter Identifying Submarine Target Model Based on Bayes' Net

作　　者：李建军[1] 李勇[1] 马良[1] 

机构地区：[1]海军航空工程学院,烟台264001

出　　处：《舰船电子工程》2009年第10期54-56,共3页Ship Electronic Engineering

摘　　要：快速准确地对潜艇进行的识别在航空反潜作战中是进行战场态势评估和战场决策的基础。通过搜索潜艇中提取搜索的特征信息,结合贝叶斯网络,使用了"两步"对潜艇目标进行识别,在此基础上进行了实例验证,其结果与事实相一致,显示了该方法的正确性和有效性。Recognizing the submarine accurately and quickly is the base of that battlefield state is assessed and strategic decision in the air antisubmarine warfare. By way of searches for draing characteristic information searching for in the subma- rine, and combining Bayes＇ net, used ＂two steps＂ to recognize to the submarine objective, and verify the example on this foundation. The result is consistent with the fact, and shows that correct nature and the effectiveness of this method.

关 键 词：贝叶斯网 潜艇 识别 反潜直升机 

分 类 号：TP302.7[自动化与计算机技术—计算机系统结构]