计算机与数字工程2012，Vol.40Issue(5)：84-86,3.
人工免疫在网络故障诊断中的应用研究
Research on the Application of Artificial Immune in Network Fault Diagnosis
李辉1
作者信息
- 1. 太原理工大学计算机与软件学院 太原030024
- 折叠
摘要
Abstract
Artificial immune systems (AIS) have been extensively used in many fields for instance multimodal function optimization, data analysis, error detection, etc. In this paper, a novel artificial immune systems method is introduced for diagnosing faults in a network of processors under the PMC model. At the same time, how we can use AIS for system-level fault diagnosis is studied Both of the theoretical analysis and experimental results demonstrate the effectiveness of the AlS-based diagnosis approach for small and large class of networks in the worst and average cases, which make it be much better than traditional fault diagnosis approaches.关键词
人工免疫系统/系统级故障诊断/PMC模型/多处理机系统Key words
artificial immune systems/system-level fault diagnosis/ PMC model/ multiprocessor systems分类
信息技术与安全科学引用本文复制引用
李辉..人工免疫在网络故障诊断中的应用研究[J].计算机与数字工程,2012,40(5):84-86,3.
