A Comprehensive Target Recognition Model Based on the Mixed Expert Systems
Xiao Zhang · Systems engineering and electronics · 2002
Considering the importance of target recognition in the air defense information processing and in the light of the theory of artificial intelligence, a comprehensive target recognition model based on mixed expert systems by combining expert systems(ES), neural networks (NN) and Dempster Shafer(D S) theory is built after the target information is synthesized. The methods for constructing a knowledge base(KB)and its reasoning mechanism are presented. By NN, this model achieves the parallel processing and automatic knowledge acquisition with self learning abillty. Its re self learning mechanism can regulate the whole system in time, add or modify the KB's knowledge. Besides, the model has a fine man computer interface and real time characteristics, and has a great value for the comprehensive target recognition.\;