Computer Network Fault Diagnosis Based on Neural Network

Abstract

In recent years, with the continuous development and innovation of fault diagnosis technology, network fault diagnosis technology has penetrated from traditional electronic and mechanical systems to dynamic systems such as industrial automation systems, electromechanical integration systems and computer systems. The progress of basic and applied disciplines such as mathematics, physics and informatics has provided various technical means for defect diagnosis technology and effectively promoted the rapid development of defect diagnosis technology. With the development of intelligent technology, introducing neural network (NN) technology into the field of computer network fault diagnosis has become a new type of computer network fault diagnosis technology. Considering the advantages of NN in network fault diagnosis and detection, the computer network fault detection technology based on NN has always been an important research topic. This paper introduces the basic principles and related algorithms of computer network fault diagnosis based on BPNN, and discusses how to apply NN to computer network fault detection.