An algorithm of data fusion using neural network

Data fusion is meanly used in data integration and data processing. In this paper, an object-oriented algorithm of data fusion is presented. Firstly, neural network theory was employed in the identification and location fixing of target in a certain area at discrete time. Then an experimental model was setup. In the given model, adaptive resonance theory of neural network was adopted and a double-layer self-organized neural network was established. This provided a new method to implement neural network using data fusion algorithm.