基于模糊神经网络防空重点保卫目标的选择

在现代防空中,由于精确制导技术在空袭兵器上的应用,使防空中重点掩护显得格外重要。为实现重点掩护,防空中重点保卫目标的选择就成了防空作战系统分析首要环节。本文给出了重点保卫目标类型,提出了选择重点保卫目标的指标,利用多目标权系数的不确定特点,建立了优选保卫目标的模糊神经网络模型及算法。最后对给出的保卫目标样本对模糊神经网络模型进行训练和仿真,说明了用该模型能很好的选择重点保卫目标。

Selecting Important Defence Targets in Air Defence Based on Fuzzy Neural Network

In modern air defence, because the precise guided technology is used in air raid weapons, the important defence in air defence seems especially important. In order to accomplish the important defence, the selection of the important defending targets becomes a key link. The paper presents class of important defending targets, gives optimal seeking indices to important defending targets, builds fuzzy neural network mathematics model and algorithm of optimal seeking defending targets, and solves un-determinacy of multi-target weight coefficients. Lastly, neural network is trained by known samples, and simulation result shows the model is feasible to select important defending targets.