基于人工免疫和神经网络混成算法的入侵检测系统研究  

Research on Invading Examine System Based on Artificial Immunity and Nerve Network Calculate Way

作　　者：吴道永[1] 

机构地区：[1]武夷学院基础教育系,福建武夷山354300

出　　处：《南平师专学报》2007年第4期55-59,共5页Journal of Nanping Teachers College

摘　　要：提出了一种人工免疫和神经网络结合用于网络入侵检测的新颖算法,该算法具有识别多样性、自我调节功能等特点。将该算法以网络的输入数据作为抗原,用于神经网络隐层中心点数量和位置的调整,输出采用最小二乘法。仿真结果表明,该混合算法具有较强的泛化能力,而且精度高,效果好。Bringing up network a kind of artificial immunity and nerve network combination used for the network calculate way to inisade to examine, and that calculate way have to identify the variety, ego to regulate the function etc. the characteristics.Be used as the antigen with the network＇s importation data that calculate way,and used for the nerve network layer central point the quantity with the position＇s adjustment, output adoption minimum two multiplication.Imitate to really and consequently express, and should mix with the ealeulate way to have the stronger the ability, and the accuracy is high, effective.

关 键 词：人工免疫 神经网络 入侵检测 系统设计 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]