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论文摘要目录： |
| 关键词：计算机应用论文 学术论文 |
基于支持向量机的计算机网络故障智能诊断模型
摘要：计算机网络故障诊断的传统方法基本上是基于人的操作，要求操作人员具有较高的专业知识和实践经验，在日常的应用中具有很大的局限性。近十几年来，故障诊断与人工智能技术的有效结合，使故障诊断技术向智能化方向发展。提出了基于支持向量机的计算机网络故障智能诊断模型；给出了具体的应用实例。应用实例表明，本文的方法是正确的、有效的。本文的模型给计算机网络故障的诊断提供了新的思路。
关键字：支持向量机；故障诊断；计算机网络
Support Vector Machine Based Intelligent Fault Diagnosis model for Computer Network
Abstract: The traditional fault diagnosis for computer network ground on the operator, he or she should has advanced professional knowledge and working experience, so it has much limitation to use in the diary life. In resent teens, fault diagnosis and artificial intelligence have been combined validly; fault diagnosis was developed to the intelligent way. Put forward to the support vector machine based intelligent fault diagnosis model for the computer network; present the material applied example. The example suggests this model is correct and valid. This model presents a new idea to the fault diagnosis for computer network.
Keywords: support vector machine; fault diagnosis; computer network
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