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中文摘要：
随着数字化校园建设步伐的快速迈进,校园中使用网络的用户不断上升,每个用户使用校园网络的用途和运用计算机的方法都各不相同,导致了整个校园网络受到外界潜在的威胁.校园网络安全问题是我们值得重视和迫切需要改善的问题之一.该文在神经网络技术的基础上,引入Elman记忆思想,提出了一种改进的Elman神经网络算法,实施网络入侵检测.实验结果表明该算法能够有效地提升网络入侵检测算法的准确性.
英文摘要：
With the rapid pace of the digital campus construction,network users in campus are still increasing,each user using the campus network applications and the use of computer methods are different,resulting in the whole campus network by external potential threat.The campus network security issues are worthy of our attention and one of the urgent need to improve the problem.In this paper,based on neural network techniques,the introduction of Elman memory idea,proposed an improved algorithm of Elman neural network,the implementation of network intrusion detection.The experimental results show that the algorithm can effectively improve the accuracy of the network intrusion detection algorithm.
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