ANN for real-time identification of radar objectives
Bin Song, Gong Long, Junma Fu · 1992
In order to complete the real-time identification of radar objectives with reliability, a mixed ANN (artificial neural network) that is made up of a function-link network and a modified BP (back propagation) network was introduced. The function-link network may increase the estimation speed, while the modified BP network that fully uses a parameter-estimating sequence ensures the reliability of identification. The experiment has been completed with the AST286 computer. The results show that this mixed network, which both ensures real time and realizes high reliability through a combined decision, is an effective way to accomplish the automatic and real-time identification of radar objectives.>