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。
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.
出处
《信息与控制》
CSCD
北大核心
1997年第2期137-155,共19页
Information and Control
基金
国家自然科学基金
关键词
神经网络
证据理论
信息融合
模式识别
neural networks, evidence theory, information fusion, pattern recognition
