A Study on Computer Network Fault Detection Based on Neural Networks

Using general algorithms to conduct computer network fault detection cannot guarantee accuracy and efficiency of diagnoses. Neural networks algorithm can respond to multiple, complex and uncertain conditions of computer networks. Revolving around neural networks' working principle and process, this paper builds a neural networks model to simulate its working process. Combining working process of neural networks and forms of computer network fault, this paper studies structure of neural networks model, used for detecting faults, analyzes application of neural networks model structure in different forms of computer network fault detection, and comes up with strategies in detecting computer network faults to achieve quick and accurate faults detection. From those studies, this paper concludes that computer network fault detection technology based on neural networks is more accurate and efficient.