基于BP神经网络的网络智能诊断系统

Network Fault Intelligent Diagnosis Base on BP Neural Network

随着计算机网络的发展,网络维护与管理日趋复杂。故障诊断就是对网络运行状态进行检测,并对出现的故障进行处理。随着人工智能理论的发展,要求把智能技术引入网络故障诊断领域,其中人工神经网络能比较准确地完成网络智能诊断任务,特别是目前广泛采用的前向多层神经网络模型(BP模型)。文章对BP神经网络故障诊断系统进行研究和设计,并通过实例进行仿真试验,结果证明该系统对网络故障的智能诊断有较高的实用价值。

With the development of network,the management of network becomes more and more complex.Fault Diagnosis needs the application of intelligent technology in it. Artificial Neural Network (ANN) can make fault diagnosis intelligently. In the ANN, the BP model is very popular. This paper researches how to design the BP Artificial Neural Network model,and put it to the test,the example shows that this system has higher reference value in practical application.