A method of complex target identification based on the probabilistic neural network in uncertain environment

作者:Sun, Dong*; Shi, Wenkang; Deng, Yong
来源:Dynamics of Continuous Discrete and Impulsive Systems: Series B; Applications and Algorithms , 2006, 13: 665-668.

摘要

How to identify the complex target in uncertain environment is an open issue. In this paper a new method to represent and classify the uncertain information is proposed. The proposed method comprised the probabilistic neural network (PNN) and the concept of basic probability assignment (BPA) in Dempster-Shafer evidence theory. A numerical example is shown to illustrate the performance of the proposed method to handle the uncertain information.