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根据军队知识管理的特点,构建了军队知识管理水平评价指标体系,指标体系从组织结构、人力、技术及知识系统4个一级指标和12个二级指标体系,运用四层模糊神经网络确定模糊综合评价中的权重值,同时采用改进的反向传播算法,用样本对网络进行训练,逐步修正网络的连接权值,使权重值更符合实际情况,最后用训练好的样本对六个单位的知识管理进行评估,结果表明,训练好的模糊神经网络可以对军队的知识管理进行评估,并得到很好的结果。
According to the characteristics of the army’s knowledge management, the evaluation index system of army’s knowledge management level is constructed. The index system includes 4 first-level indicators and 12 second-level index systems of organizational structure, human resources, technology and knowledge system, and the fuzzy neural network At the same time, using the improved back propagation algorithm, the sample is used to train the network, and the weight of the network is gradually adjusted to make the weight value more in line with the actual situation. Finally, the training samples are used to analyze the weight of six units Knowledge management assessment, the results show that the trained fuzzy neural network can assess the military’s knowledge management, and get good results.