Elman neural network is a dynamic feedback network,an improved model is proposed based on the Elman neural network by introducing time profit factor and applied to the prediction of the composite index of stock.

Influence of time factor on the dissolution of wax framework sustained-released tablets;

Point-guiding of planar cam guiding mechanism under the consideration of time factor;

This paper analyzes the time factor of twoheat sequential casting at No1 EAF Steelmaking Plant of Guangzhou Iron & Steel Co, Ltd Applying the concept of time point,time domain,time sequence and time position firstly, the function of buffering and matching of LF is explained quantitatively Corresponding with the time position, the temperature change of steel in LF is analyzed.

There are many time factors which can decide the effect of school physical education, among which the time curves of life activities, of knowing things, of over-restoration, of the development of athletic skills, and of the change of the body抯 functioning ability are the most important.

The improved OIF Elman neural network was proposed to assess and forecast the atmospheric quality by introducing the direction profit factor to the OIF Elman neural network.

Applying the methods of processing approximate entropy and information entropy in the process of returns time series in stock market,several relative aspects charateristics about the main stock market index are obtained.