Time series method is adopted for building the strong wind monitoring and warning system of Qinghai-Tibet Railway to realize the short-term forecast of the wind speed along the line.

Summarizing the types and constitution of supply chain costs,the paper uses dynamic programming to solve the cost value in different supply chain links and stages under a fixed cost standard,uses the time series method to forecast and renew the future activity costs and meanwhile uses programming to calculate the optimal costs and dynamic cost trend.

The reliability is combined with the time series which is corresponding with the reliability,then it is analyzed by time series method;the reliability prediction result can be achieved by the extrapolation of the neural network.

Application of time series analysis method in groundwater level dynamic forecast of Shenyang City;

By means of time series analysis method,random drift signal output by oriention gyro in navigation system is analyzed under normal and fault conditions so as to obtain a fault identification method of gyro performance.

Applying the method of time series analysis to forecasting the paddy water requirement;

This paper employs the neural network method, time series analysis method and recursive neural networks technology based on data mining and knowledge discovery to predict the iron and steel output.

The time series method is used to extract the regular part from the residual series received by modeling of observed data.

The monthly central tax revenues forecasting is considered based on time series method.