Research of Information Fusion Model Combining D-S Evidence Theory and Neural Network
Xing Hua-ling · Chuangan jishu xuebao · 2007
Under the circumstance of great noise in information fusion system,the fusion effect is poor.In view of this problem,thus a method of information processing is proposed based on the combination of D-S evidence theory and neural network.Evidence theory has the advantage of processing uncertain information while the neural network is ascendant in numerical approximation.In the method,by integrating both advantages,the basic probability evaluation can be obtained using neural network and the processing arithmetic of conflict evidence.Moreover,the architecture of neural network becomes apparent according to evidence theory.Simulation shows that the recognition rate of uncertain information is improved.