| 基于神经网络的网络故障诊断 |
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| 引用本文： | 李千目,戚勇,刘凤玉. 基于神经网络的网络故障诊断[J]. 计算机工程, 2003, 29(21): 6-7,11 |
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| 作者姓名： | 李千目 戚勇 刘凤玉 |
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| 作者单位： | 南京理工大学计算机科学与技术系,南京,210094 |
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| 基金项目： | 国家自然科学基金资助项目（60273137），国防科工委应用基础基金资助项目（ 420010701） |
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| 摘 要： | 针对传统故障知识库冗余度高和稳定性难以两全的缺陷，提出了RSFBP算法，综合运用神经网络方法和粗糙集理论，实现对学习样本净化处理。实验表明，利用该方法实现的系统在进行网络故障诊断时可以取得较好的效果。
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| 关 键 词： | 粗糙集 神经网络 故障诊断 |
| 文章编号： | 1000-3428(2003)21-0006-02 |
Network Fault Diagnosis Based on Neural Network |
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| LI Qianmu,QI Yong,LIU Fengyu. Network Fault Diagnosis Based on Neural Network[J]. Computer Engineering, 2003, 29(21): 6-7,11 |
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| Authors: | LI Qianmu QI Yong LIU Fengyu |
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| Abstract: | This paper puts forward a design method for network fault diagnosis systems by proposing RSFBP algorithm, which tightly combines neural network and rough sets. It's capable of overcoming several shortcomings in existing diagnosi s systems, such as a dilemma between stability and redundancy. The experiment sy stem implemented by this method shows a good diagnostic ability. |
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| Keywords: | Rough sets Neural network Fault diagnosis |
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