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.
作者
张振坤
ZHANG Zhen-kun(Hubei Youth Vocational College,Wuhan 430079,China)
出处
《舰船电子对抗》
2021年第2期61-63,87,共4页
Shipboard Electronic Countermeasure
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
SOM neural network
BP cloud neural network
computer network countermeasure
effectiveness evaluation
