基于贝叶斯网络的空袭兵器识别

Identification of air attack targets based on Bayes network

应用贝叶斯网络理论在解决不确定性事件方面的推理优势于空袭兵器的识别,充分结合空袭兵器识别上的现有经验,结合图形模式推理,最大限度地提高空袭兵器识别的准确性,实现空袭兵器的自动识别。

In this paper, a classify tool based on Bayes network is used to identify the air attack enginery for the reasoning advantage in resolving uncertain knowledge. It presents a good idea to identify an object on sea based on Bayes network. It is no bad way because of inference and express method of uncertain knowledge as well as graphics mode. So this method uses less time to get the result and enhances the accuracy to identify air attack enginery.