It is testified by instance that the relative error of stimulated annealing grey model is smaller than traditional grey model′s and it has improved the prediction precision.

The grey prediction models of indices of Liaoning Province gross out-put value is established by employing grey prediction methods,and prediction precision grade in a posteriori difference were given, in using the data of indices of Liaoning Province gross out-put value, 1970~1998.

Through analysis of the steadiness of the data,the discernment of the model,the parameter estimate,the model diagnosis and the analysis of the prediction precision the validity of the ARMA modeling method is verified.

The prediction accuracy on skin pass mill can be guaranteed by the method of contact surface boundary.

For targets with different movements,various target movement models and filtering algorithm have been experimented to analyze the effects of prediction accuracy on the target falling into free beam under the condition that the radar tracking performance and tracking accuracy remains unchanged.

In order to predict cutting force using training samples as few as possible,training samples with different numbers were selected to train an artificial neural network(ANN) respectively,and the effect of the number of training samples on ANN prediction accuracy for cutting force based on the LM(Lenvenberg-Marquardt) algorithm was analyzed by contrast experiments.

The principles of these methods are discussed,and measures to deal with low forecast precision of the model are put forward,which helps predictive model to provide decision more effectively.

The factors related to the forecast precision is taken into account, then some kinds of methods is brought forwarded to improve the forecast performance of Neural Networks, which gives a idea of upgrading the forecast precision to a certain extent.

The forecast effect which is improved algorithm about forecast precision,unstable time sequence is prominent.