摘要
分别从网络级和设备级两个方面构建了对通信网抗干扰性能进行评估的指标体系，提出了基于自适应直觉模糊推理系统的通信网抗干扰性能评估方法，克服了传统方法只能从原理上进行定性分析的缺点。首先，采用减法聚类确定自适应直觉模糊神经网络的结构，然后利用混合学习算法训练该网络的前件参数和结论参数，最后通过具体实例进行模型训练和测试。试验结果表明采用该方法所建立的评估模型是有效的。
The indicators system of antijamming performance analysis in communication network was established which from network-level and device-level.An antijamming performance analysis method in communication network and adaptive neuro-intuitionistic fuzzy inference system（ANIFIS） is proposed, overcoming the deficiency that the traditional method only qualitative analysis from theory.Firstly,the structure of ANIFIS is decided by subtractive clustering;then the premise parameters and consequent paramenters of ANIFIS are trained by hybrid learning algorithm,the results show that the evaluation model is available.
出处
《通信对抗》
2010年第3期49-51,55,共4页
Communication Countermeasures
关键词
通信网
抗干扰性能评估
直觉模糊集
communication network
antijamming performance analysis
intuitionistic fuzzy sets
