摘要
通过对移动网络网元性能诊断和优化过程的分析,提出一种用于网络优化分析的动态多叉树诊断模型(动态判定树)。与传统专家系统相比,它可以更有效地组织知识库中的规则,提高推理效率,并通过动态调整各个诊断分支的可信度,达到自学习的目的。
Analyzes the process of performance diagnosis and optimization in mobile network first, and then presents a dyna￣mic multi-branch diagnosis model. Compared with the conventional expert system, this new model can organize the rules in repository more efficiently, can improve the reasoning efficiency, and can achieve self-study by adjusting trust-factor of each diagnosing branch dynamically.
出处
《计算机应用研究》
CSCD
北大核心
2005年第6期98-99,110,共3页
Application Research of Computers
关键词
移动网络
网络优化
专家系统
基于规则的推理
Mobile Network
Network Optimization
Expert System
Rule-based Reasoning
