According to the character of non linear network traffic, the traffic time series is decomposed into trend component, period component, mutation component and random component.

In this paper, according to the characteristics of non linear network traffic, traffic behaviors are decomposed into trend items, period items, and random items by an accumulation decomposition model.

Taking the advantage of neural network in dealing with non-linear problem, neural network is applied to study the discernment and classification of the strip surface defects.