河北科技大学学报2011，Vol.32Issue(3)：256-260,268,6.
一种改进的RNS算法的研究及应用
Study and application of an improved RNS algorithm
王宏宇1
作者信息
- 1. 华东理工大学信息工程与科学学院,上海200237;石家庄职业技术学院信息工程系,河北石家庄050081
- 折叠
摘要
Abstract
For anomalous detection, we improved the real-valued negative selection (RNS) algorithm of hybrid neuro-immune system (HNIS), and named it general RNS (GRNS). The algorithm is applied to neurons-immune system for anomalous detection. The results show that, with such small number of self samples, the improved NIS has high detection rates and low false alarm rates.关键词
混合神经元免疫系统/阴性选择/神经网络Key words
hybrid neuro-immune system/ negative selection/ neural network分类
信息技术与安全科学引用本文复制引用
王宏宇..一种改进的RNS算法的研究及应用[J].河北科技大学学报,2011,32(3):256-260,268,6.
