The nonlinear functional approximation capabilities of feedforward neural networks lead us to forecast time series,.

Hybrid time series predictive control model for silicon content in blast furnace hot metal;

A new approach to trend extrapolation of time series of ecological footprint and its application;

Fractal characteristics and R/S analysis of time series of natural hazards;

A time-series study on the association of stroke mortality and air pollution in Zhabei District, Shanghai;

A Time-series Study on the Relationship Between Gaseous Air Pollutants and Daily Mortality in Shanghai;

Online Heuristic Algorithm of Representation for Time-series Based on Polygonal Boundary Reduction;

Apply time sequence model to predict and control spinning tension;

Process of laser gyro drift data base on time sequence model;

Study on information mergence of road construction machinery group based on time sequence;

Real Time Outliers Detection Based on Kalman Filter and Time Serial;

From analysis of depositing dust's data in Qinhuangdao Port by time serial,the longterm tendency and season variation of coal dust pollution is obtained.

Secondly, annual flooding duration days are used to rebuild the flood time serials of ten large drainage basins in China.

The real-time data rectification algorithm used in plant-level supervisory information system(SIS) of thermal power plant,which is predicted on the basis of time series analysis and artificial neural network,have been discussed.

Also it proposes a defect forecast method based on time series analysis.

This paper gives a demonstration study of the ShangZheng synthesis index by the method of time series analysis.