摘要
本文利用神经网络处理非线性、复杂性等优势,基于改进的递归神经网络预测网络安全态势,实验结果证明该方法运行效率较高,运行结果与实际值相比,误差较低,精确性较高。
Neural network to deal with nonlinear,complexity advantage of this paper,network security situation prediction based on improved recursive neural networks,experimental results show that the high efficiency of the method,results are compared with the actual values,low error,high accuracy.
出处
《电子测试》
2014年第12X期35-36,43,共3页
Electronic Test
关键词
网络安全态势
递归神经网络
预测
Network Security Situation
Recurrent Neural Network
Prediction