基于模糊神经网络的目标识别  

Aerial target identification based on fuzzy neural network

作　　者：孙宝琛[1] 时银水[1] 朱岩[1] 

机构地区：[1]防空兵指挥学院,河南郑州450052

出　　处：《电光与控制》2005年第3期50-54,共5页Electronics Optics & Control

摘　　要：　结合模糊推理和神经网络两种方法的优点,从网络的结构、工作过程、学习算法等方面,探讨了一种基于模糊神经网络(FNN)的目标识别方法。通过仿真结果证明,此方法确实可行。The classical statistical reasoning method is usually adopted in target identification, which needs plentiful prior information. An intelligent method is more effectual, because the target identification is similar to the person's judgment process. In intelligent method, the fuzzy reasoning (FR) and neural network (NN) need little prior information, only the input, output data and certain rules are needed, so they are more applicable for target identification, which is nonlinear and difficult to set up a model. A target identification method based on Fuzzy Neural Network (FNN) is discussed with its network construction, working process and study algorithm. The method combines the advantages of FR and NN. Simulation result shows that this method is feasible.

关 键 词：模糊推理 神经网络 BP学习算法 目标识别 

分 类 号：V24[航空宇航科学与技术—飞行器设计]