Reliability Analysis of Computer Communication Networks Taking into Account Bayesian Network Structure Learning Algorithm

With the continuous development of technology and information technology, computer communication networks have also been rapidly enhanced, but the requirements for the reliability and stability of computer communication networks in the process of data transmission have also been gradually increased. Therefore, this paper applies the Bayesian network structure learning algorithm to the process of computer communication network reliability analysis, determines the edges of computer communication network emergence by using the maximum spanning tree algorithm, combined with Bayesian network , which can effectively identify the communication network in the transmission direction, to achieve a multi-objective optimization method for computer communication network under the Bayesian network structure learning algorithm. Finally, the results of example analysis show that the algorithm in this paper can significantly reduce the number and order of independence tests compared with the dependency analysis algorithm, indicating that the algorithm in this paper has better practicality and performance.