摘要
针对防空作战中空袭兵器类型识别问题进行了研究 ,给出了空袭兵器的主要类型和主要识别因素以及识别因素的隶属函数 ,在此基础上建立了模糊神经网络模型。最后对模型进行了仿真实验 ,实验的计算结果表明模型的可行性和有效性。
Gives the primary types of air strike weapon and some important factors which made use of to identify air strike weapon and its subordinate function values,pointing at the problems in the anti aircraft battle.Based on this, a new method of type recognition fuzzy neural networks is presented and the model is constructed.The result of calculation shows the utility and value of the model.
出处
《制导与引信》
2004年第2期53-56,共4页
Guidance & Fuze
关键词
空袭兵器
识别
神经网络
air strike weapon
recognition
neural network
