Through comparing their sums of squared error,it was concluded that prediction error algorithm-based OE model has the best precision.

Then,the remaining parameters are identified by using prediction error method,and an advanced model with constraint of prior knowledge is obtained.

In this paper, a simple three_layers BP network was used for the early prediction of the amount of product, based on the difference in prediction errors between normal and abnormal charges and other accessorial information, such as profit function.

The use of simplified model and prediction error correction improves conventional control algorithm.

In order to better improve dynamical seasonal prediction by utilizing statistical experiences, the problem of capturing statistical experiences associated with climate model is discussed from the point of view of studying the impacts of physical predictors in climate system on model prediction errors.

Analysis on forecast error of extratropical cyclone in winter American and Japanese radiofacsimile weather charts;

based algorithm with the correction of a forecast error has been put forward to fulfill relevant control functions.

Using the equatorial Pacific sea surface temperature anomaly(SSTA) forecasts of the Zebiak-Cane model,the SSTA prediction skill for neutral years and the growing/decaying phase of El Nio/La Nia events are investigated by analyzing the behavior of forecast error growth.