A Hybrid Neural Network/knowledge Base System For Multi-Target Recognition

Abstract

In this paper, we present a hybrid artificial neural network (ANN)/knowledge base (KB) system for multi-target recognition (MTR). Specifically, we develop a hybrid MTR archi- tecture composed of ANNand KB classifiers and decision makers, and conventionalsignal processing and probabilistic target track- ing algorithms. Our approach centerson the use of both the on-line classification and parallel processing of neural networks and the formal knowledge and reasoning of domain experts.