基于神经网络与专家系统的智能决策支持系统

An intelligent decision-making system based on neural networks and expert system

提出了一种基于神经网络与专家系统的无人作战飞机智能决策支持系统,成功地解决了在规则不完善、战场信息不完全的情况下决策支持系统的推理问题。所设计的神经网络推理机不仅可以在专家系统由于规则不完善和信息不完全无法推理的情况下引导专家系统,而且可以对专家系统的经验进行学习。仿真结果表明所提出的方法有效。

An intelligent decision-making system based on neural networks and expert system for UCAVs is presented, which successfully solves the problem of reasoning when the knowledge and the battlefield information are incomplete. The designed neural networks reasoning machine can not only guide the expert system when the expert system can not reason due to the incompleteness of the knowledge and the information, but also learn from expert system＇s experience. The simulation results are given to show that the presented technique is effective.