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.
- 出版日期2006-12
- 单位上海交通大学