基于改进的递归神经网络的网络安全态势预测
기우개진적체귀신경망락적망락안전태세예측
Improved network security situation prediction based on recursive neural networks
  • 万方数据
    电子测试 전자측시
    ELECTRONIC TEST
    2014年 24期 35-36,43 ,共3页

    蔡均平%屈雷

    채균평%굴뢰

    网络安全态势%递归神经网络%预测 網絡安全態勢%遞歸神經網絡%預測
    망락안전태세%체귀신경망락%예측
    Network Security Situation%Recurrent Neural Network%Prediction
    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。
    본문이용신경망락처리비선성、복잡성등우세，기우개진적체귀신경망락예측망락안전태세，실험결과증명해방법운행효솔교고，운행결과여실제치상비，오차교저，정학성교고。
    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.
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