基于SOMBP云神经网络的计算机网络对抗效能评估  

Effectiveness Evaluation of Computer Network Countermeasure Based on SOMBP Cloud Neural Network

作　　者：张振坤[1] ZHANG Zhen-kun(Hubei Youth Vocational College,Wuhan 430079,China)

机构地区：[1]湖北青年职业学院,湖北武汉430079

出　　处：《舰船电子对抗》2021年第2期61-63,87,共4页Shipboard Electronic Countermeasure

摘　　要：构建了一种计算机网络对抗效能评估指标体系,提出一种云理论和神经网络相结合的SOMBP云神经网络评估方法,该方法不仅具有神经网络的学习、记忆能力,也具备云理论的模糊性和随机性。将此方法应用到计算机网络对抗效能评估中所获得实验结果表明:该方法不仅迭代次数少,收敛速度快,而且准确率高。This paper constructs a effectiveness evaluation system of computer network countermeasure,and proposes a SOMBP cloud neural network evaluation method that combines cloud theory and neural network.The method not only has learning capability and memorizing capability of neural network,but also has the ambiguity and randomness of the cloud theory.The experimental results applying this method to the effectiveness evaluation of computer network countermeasure show that this method has the advantages of fewer iterations,fast convergence speed,high precision.

关 键 词：SOM神经网络 BP云神经网络 计算机网络对抗 效能评估 

分 类 号：TN975[电子电信—信号与信息处理] TP393[电子电信—信息与通信工程]