摘要： 对指挥自动化网络进行安全评价能够全面了解网络运行状况，及时采取防范措施，确保指挥自动化系统充分发挥战斗力。为此，根据影响网络安全的因素，结合模糊层次分析和神经网络建立网络安全评价体系。分别采用梯度下降BP算法和LMBP算法进行仿真。分析结果表明，LMBP算法在收敛速度和减小误差方面效果更好。

关键词: 指挥自动化网络, 安全评价, 模糊层次分析法, 人工神经网络, 评价体系, LMBP算法

Abstract: Security assessment of command automation network which can comprehensively master the running status of the network and take immediate precautions plays an extremely important role on developing the combat effectiveness of the command automation system. Fuzzy Analytical Hierarchy Process(FAHP) and neural network are used to build the network security evaluation system according to the relevant influencing factors. Through analysis of simulation results, it proves that the results are satisfied and the LMBP algorithm achieves a better effect on the rate of convergence and the accuracy.

Key words: command automation network, security assessment, Fuzzy Analytical Hierarchy Process(FAHP), artificial neural network, assessment system, LMBP algorithm

中图分类号: 

• TP393