Instruction detection technology is core in instruction detection system , it include abnormity instruction and abused instruction detection , on the basis of traditional network security model , ppdr model , instruction detection principle and instruction technology analysis , the author has brought forward instruction detection method based genetic neural networks , adopted genetic algometry and bp neural networks union method , and applied in instruction detection system , solve traditional bp algometry lie in absence about constringency rate slowly and immersion minim value 入侵检测分析技术是入侵检测系统的核心，主要分为异常入侵检测和误用入侵检测。作者在对传统网络安全模型、 ppdr模型、入侵检测原理以及常用入侵检测技术进行比较分析的基础上，提出了一个基于遗传神经网络的入侵检测方法，采用遗传算法和bp神经网络相结合的方法?遗传神经网络应用于入侵检测系统中，解决了传统的bp算法的收敛速度慢、易陷入局部最小点的问题。
