Enhanced Optimization of Computer Network Connection Based on Neural Network Algorithm

In today's information age, computer networks play an increasingly important role in people's daily production and life. As an essential part of network management, network fault management is significant in ensuring network security, stability and reliability. From a certain perspective, the main task of fault management is to monitor, analyze and process network events. Therefore, fault management is the core of network management, and fault diagnosis is a critical technology in fault management. The introduction of artificial intelligence technology into the field of fault diagnosis makes it possible to locate faults and diagnose fault causes automatically. The research of this paper configures the appropriate network algorithm and network model to correctly process the network signal, so that the network fault system can be intelligentized. Through the research of this paper, it is concluded that the artificial neural network application system is more advanced. Using network algorithms and network models, it can reasonably process signals, identify an operation mode, and finally form an independent and perfect expert system, or an intelligent system robot.