Object orient data fusion algorithms and its neural network implementations

This paper discusses a way to identify and locate a target collection in a given area at discrete time with neural network theory. With the given model, a report database is set up and maintained to store relevant detecting reports. Then a double layer self-organizing neural network is built using neural network adaptive resonant theory (ART) to offer a neural network implementation for the algorithms.