基于人工神经网络与证据理论相结合的信息融合空间点目标识别方法研究

STUDY OF INFORMATION FUSION METHOD BASED ON THE COMBINATION OF ANN AND EVIDENCE THEORY TO RECOGNIZE POINT TARGETS

摘要: 介绍了一种基于人工神经网络与证据理论相结合的空间点目标识别以及该方法的结构，分析了该方法的性能，并用计算机仿真验证了该方法的强抗干扰性和鲁棒性．

Abstract: A method based on the combination of artificial neural networks (ANN) and evidence theory to recognize spatial point targets is brought forward in the paper. The structure of the method is introduced, while the performance of the method is analyzed. The good characteristics for the method to defying disturbance and its robustness are tested and verified by experiments.