Application of time series analysis in the prediction of schistosomiasis prevalence in the areas of “breaking dikes or opening sluice for waterstore” in Dongting Lake;

Gyroscope Drift Forecasting Based on Stationary Time Series Analysis;

Combinative time series analysis method for the prediction of the groundwater level;

The applied problem of the time sequence analysis is solved.

Real estate cycles were analyzed using time sequence analysis and artifical neural network model to help market participants identify real estate cycle scientifically and make reasonable decisions.

In order to predict the mine gas emission quantity,base on the basic theory of the grey system and the time sequence analysis,a random dynamic model to predict the mine gas emission quantity was established.

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.