摘要
首先分析了人工神经网络在目标识别和分类中的应用及其局限性,然后分析了人工神经网络与模糊理论、证据理论、贝叶斯决策理论相结合在目标识别和分类中一般方法和优点.
The paper first analyzes the application of the neural networks to target recognition and classification and its limitation, and then states that the neural networks should be combined with fuzzy theory, evidence theory and Bayesian decision theory. Finally it presents the general method and advantages of the combination.
出处
《海军航空工程学院学报》
2005年第4期401-404,共4页
Journal of Naval Aeronautical and Astronautical University
基金
全国高等学校优秀博士学位论文作者专项基金
关键词
目标识别
神经网络
模糊理论
证据理论
贝叶斯决策
target recognition
neural networks
fuzzy theory
evidence theory
Bayesian theory
