This paper develops a novel multilayer neural networks based on adaptive streamflow forecast technique for complicated nonlinear water systems, and the forecast mechanism using multilayer neural networks is analyized.

The paper examines the impact of technical trend signals on Shanghai stock market using an adaptive expectation model based on consistent investment behaviors.

This paper modifies the model proposed by Moosa and Al - Loughani by using adaptive expectation model and thus builds a new model suitble for Shanghai Futures Exchange s Fuel Markets.

In order to stablize the sinter chemical composition, an expert system for composition control based on adaptive prediction is developed on the basis of modern control theory and artificial intelligence.

A new method of dynamic system prediction-a developed multi -levelrecursive method (DMLRM) is proposed, based on the multi - level recursive method (MLRM) and the adaptive prediction method for systems with unknown time - varying parameters.

After the signals of cable transmission line were picked up from the input data and output data with noises, the likelihood whether there will be fault is judged early by means of the method of adaptive forecast identification.

Deduction and establishment of one kind of self adaptive percolation model;