| 基于决策树的网络故障诊断专家系统模型 |
| |
| 引用本文： | 曲朝阳,高宇蜂,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. |
| |
| 作者姓名： | 曲朝阳 高宇蜂 聂欣 |
| |
| 作者单位： | 1. 东北电力大学信息工程学院,吉林,132012
2. 吉林省长春电业局,长春,131001 |
| |
| 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 |
| 修稿时间： | |
Network Fault Diagnoses Expert System Model Based on Decision Tree |
| |
| 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. |
| |
| Authors: | Qu Zhao-yang GAO Yu-feng NIE Xin |
| |
| Affiliation: | (1. School of Information Engineering, Northeast Dianli University, Jilin 132012; 2. Jilin Changchun Electric Power Bureau, Changchun 131001) |
| |
| 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. |
| |
| Keywords: | network fault diagnoses expert system knowledge acquisition reasoning mechanism |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《计算机工程》浏览原始摘要信息 |
|
点击此处可从《计算机工程》下载全文 |
|
