Adaptive Learning Intelligent Decision-making system
Chen Zong-ji · Jisuanji fangzhen · 2006
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.