In order to reflect the change in deformation of surrounding rocks in soft rock bolt-grouting roadway along with time,we have built the time series prediction model of the deformation of surrounding rock in soft rock bolt-grouting roadway based on the RBF neural network and the data of the deformation observed from the locale.

Time series forecasting models of food-grain consumption per capita in China were scanned and selected by using SPSS, and were built based on the correlative relationship between quantity of consumption and time.

Time series forecasting models of total food-grain consumption in China were selected by using SPSS, and were built based on the correlative relationship between quantity of consumption and time.

Non stationary time series modeling and its application in the dynamic simulation of pesticide degradation。;

This paper presents an analytical method of monitoring data based on the time series modeling.

This method is based on digital signal analysis and time series modeling analysis, and can be applied to detection of measurement signal in engineering, analysis instrument or system.

The AR model is used to perform a time-series modeling and forecasting analysis for the spectral analysis data co llected from aero-engines.

In this paper,time-series modeling method is used to get character parameters and a kind of slave-function calculation method is introduced.

Based on the historical data,a forecast modeling method for structural equation model was discussed,where the future relationship between the system factors was described without future sample.

Aiming at a hard problem to crack for the forecast modeling for flight accident rates,the forecast model of flight accident rates is established by using of the LS-SVM method based on statistical learning theory.