本文選題：網絡空間 + 信息防御能力��； 參考：《控制工程》2017年02期

【摘要】：針對指揮決策者難以對網絡空間信息防御能力進行精確、自主可控的評估,分析了網絡空間防御能力及其影響因素,構建了網絡空間信息防御能力評估指標體系,采用AHP法確定指標權重,把運用模糊綜合評價法得到的成功評價數據作為Hopfield神經網絡的平衡點,利用Hopfield神經網絡記憶與聯(lián)想功能建立了基于Hopfield神經網絡的評估模型對能力指標進行評估,實驗結果表明該方法能夠較好地反映樣本數據數字特征,實現(xiàn)了對網絡空間信息防御能力的直觀、快速、準確的評估。
[Abstract]:Aiming at the difficulty of commanding decision makers to evaluate accurately and independently the ability of cyberspace information defense, this paper analyzes the capability of cyberspace defense and its influencing factors, and constructs the evaluation index system of cyberspace information defense ability. The index weight is determined by AHP method, and the successful evaluation data obtained by fuzzy comprehensive evaluation method are regarded as the balance point of hopfield neural network. An evaluation model based on hopfield neural network is established by using hopfield neural network memory and associative function. The experimental results show that the proposed method can reflect the digital features of the sample data well. It realizes the intuitive, fast and accurate evaluation of the defense ability of cyberspace information.
【作者單位】： 信息工程大學指揮軍官基礎教育學院;
【基金】：全軍軍事科研預研項目(13QJ003-22)
【分類號】：TP183;TP393.08;E11

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