摘要： 针对传统网络故障诊断专家系统在知识获取方面的固有不足，结合决策树算法和专家系统的特点，提出一种基于决策树的网络故障诊断专家系统模型，讨论网络故障诊断专家系统模型的推理机制和推测算法以及知识获取的实现方法。实践结果表明，模型在知识获取方面具有获取过程简单、计算复杂性低、适应性强的特点。
关键词:
网络故障诊断专家系统,
知识获取,
推理机制
Abstract: In view of inherent insufficiency of traditional network fault diagnoses expert system in the aspect of knowledge acquisition, together with the characteristics of decision tree algorithm and expert system, this paper puts forward a new network fault diagnoses expert system model based on decision tree, discusses the reasoning mechanism, the reasoning algorithm, and the method of knowledge acquisition of the model. Experimental results demonstrate that this model has the characteristics of simple process, low computation complexity and strong adaptability.
Key words:
network fault diagnoses expert system,
knowledge acquisition,
reasoning mechanism
中图分类号:
曲朝阳;高宇峰;聂 欣. 基于决策树的网络故障诊断专家系统模型[J]. 计算机工程, 2008, 34(22): 215-217.
QU Zhao-yang; GAO Yu-feng; NIE Xin. Network Fault Diagnoses Expert System Model Based on Decision Tree[J]. Computer Engineering, 2008, 34(22): 215-217.