In the age of big data

artificial intelligence has developed rapidly. As one of the important branches of artificial intelligence

machine learning has a wide application prospect in network operation and maintenance. Combining with the network fault warning work

this paper combs the main algorithm model of machine learning. The difficulties and key technologies of artifi cial intelligence applied to fault warning are discussed emphatically: weighted sample sampling

eigenvalue extraction of time series samples

parameter optimization using stochastic forest model and deep neural network model.