Measures of improving coiling temperature control quality in hot continuous strip steel rolling;

Prediction coiling temperature of hot rolled strip by artificial neural network;

Mathematical model for coiling temperature control of hot rolled strip and its self-learning;

In order to improve the steel plate temperature prediction accuracy of the roller-hearth heat treatment furnace,GA-BP neural network is trained by a great deal of actual data.

The study of the strip temperature prediction model has been one of the importance researches to improve the mathematics model prediction precision.

High-precision temperature prediction is required in continuous rolling simulation by open modular.

Application of Kalman filter method to medium range temperature forecast;

Temperature forecast verification and its controls in Shijiazhuang,Hebei province

Based on temperature forecasts of regional ensemble forecast models from six different operational centers and scientific research institutions,a study of bias-correction and multi-model consensus has been done to reduce the system error and to improve the forecast precision.

Verifications of 2m temperature prediction by Grapes model in Southwest China during summer of 2004 and 2005 were undertaken.

Improvement of the coiling temperature control of Baosteel's hot strip mill;

This paper gives an analysis of coiling temperature control ( CTC ) for hot strip rolling , based on basic CTC control model , two new algotithms are developed : full-long feedback control and strip head set-up self learning.

This T-S fuzzy neural network has many advantages such as the simplicity and faster convergence speed etc, and it is applied to coiling temperature control with satisfactory results.