Flow Forecasting Model Based on Grey Neural Network and Self-adapting Network Filtration

Network flow is an important parameter for measuring network operation load and status, it is also the important parameter that plays an important role in network planning and flow management etc. In flow management, the flow model is used to evaluate access control mechanism and predict network performance. We have proposed a new network forecasting method on the basis of grey neural network study, we revise the residual generated due to grey neural combined model through self-adapting filtration method to achieve more precise effect. The experimental results show that this method is effective and practical.