摘要
战场损伤评估是一个确定如何处理受损装备的决策过程,对某种装备的损伤评估都需要掌握该装备大量的相关知识和专家经验。因此,目前的研究都希望利用专家系统实现损伤评估的过程,但在理论及实践上都还不太成熟。为此,该文根据电子装备的特点,选择某雷达型号作为研究对象,分析和规划其损伤评估及修复的流程,设计其战场损伤评估专家系统。该专家系统综合运用了语义框架、扩展产生式规则及人工神经网络等多种知识表示方法来表达各种不同类型的知识,并根据不用的知识表示方法采取相应不同的推理策略进行推理,最后给出了损伤评估专家系统的有效模型。
BDA（Battlefield Damage Assessment） is a decision - making process for dealing with the damaged equipments. Before that, as more as possible related knowledge and expert＇s experience must be collected. Although it is very difficult, people still work hard to make the BDA expert system practicable. In this paper, based on the characteristic of electron equipment, a radar model is chosen as experimental object to analyze the process of battlefield damage assessment and repair, and design a battlefield damage assessment expert system. This system uses the combination of frames, extended production rule and artificial neural networks ad knowledge representation methods and adopts the uncertain forward inference to improve the expert system＇s practicability.
出处
《计算机仿真》
CSCD
2006年第6期28-31,共4页
Computer Simulation
关键词
战场损伤评估
专家系统
知识表示
推理机
Battlefield damage assessment
Expert system
Knowledge representation
Inference engine
