The application of dynamic intelligent neural network in time series forecasting

The research of artificial neuron network has been maturated both in theory and practical application, so it is also employed into nonlinear time series forecasting. However, concerning with the problem of time series forecasting based on traditional neural network, such as black box, poor accuracy, and facing the shortage of post knowledge, the dynamic intelligent neural network is proposed in the paper, a different neural network forecasting model built up by dynamic prediction and intelligent neuron, which improves the predictive performance with a high accuracy. Finally, the paper takes the prediction of the time series of MinCurrent, a industrial parameter in the oil work, for example to illustrate the feasibility and efficiency of the technique.