自学习智能决策支持系统

Adaptive Learning Intelligent Decision-making system

提出了一种基于神经网络与专家系统的自学习智能决策支持系统,使得智能决策支持系统能够对过去的经验进行学习。在无人作战飞机系统的应用表明,智能决策支持系统不仅能够对过去的经验进行学习,并且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。仿真结果表明,提出的方法显著地提高了智能决策支持系统的性能。

An adaptive learning intelligent decision-making system based on the neural networks and expert system was proposed to allow the intelligent decision-making system to learn from experience. The application in the UCAV system shows that the intelligent decision-making system can not only learn from experience but also solve the problem of how to reason when the knowledge and battlefield information are incomplete. The simulation results show that the presented technique improves the performance of intelligent decision-making system.