To the problem of target miss-distance signal delay and uncertain disturbances in the gyro stabilized platform tracking system, an H∞ prediction filtering algorithm based on the finite memory model was propounded.

The Study of the Unusual Pattern of Limited Memory and Earning Data;

How does limited memory influence the short changes of financial asset price;

According to Tashikuergan river drainage area runoff data and Kashi sounding station temperature data,the limited memory static grey model is used to establish the runoff forecasting model of ice-snow melting in this paper.

YU Jing-hu In this paper we give the multifractal spectrum of a canonical measure supported on a fractal with finite memory in the deterministic and random case, in which the scale coefficients depend on several previous steps.

Different from the traditional nonmonotonic trust region algorithms,this algorithm includes a memory model,which makes the algorithm more far-sighted in the sense that its behavior is not completely dominated by the local nature of the objective function.

This paper first discusses several basic memory model, analyzes the layer structure and network structure of brain memory, further builds the memory model based on analogy.

Predicting annual runoff with grey self-memory model;

To increase the efficiency of medium and annual runoff prediction,the grey self-memory model based on GM(1,1) differential equation was established.

Time series analysis self-memory model based on self-memorization principle of dynamic.

In this paper, we introduce long memory model and it s test methods.