Firstly,starting from the discussion of incremental innovation and radical innovation,the paper analyzes the main factors affecting innovation and studies the effect of R&D factors on the timing forecast of radical innovation in particular.

Based on the close relationship between seismic and logging information,a real-time prediction model of borehole stability is established using seismic,logging and geological data to control borehole wall sloughing instability.

Aimed at the chaotic characteristic in urban traffic flow,authors introduced an improved prediction model of weighted one-rank local-region and applied the model to real-time prediction of traffic flow.

By using the historic data sequence of the target position for building a straight line equation,and then using the equation for predicting the target s position and velocity at the future moment,the real-time prediction of the target is implemented.

In order to reflect the change in deformation of surrounding rocks in soft rock bolt-grouting roadway along with time,we have built the time series prediction model of the deformation of surrounding rock in soft rock bolt-grouting roadway based on the RBF neural network and the data of the deformation observed from the locale.

The AML-real-time forecast method applied to parameters of traffic stream on expressway;

A real-time forecasting method of wire electrical-discharge machining(WEDM)corner machining accuracy was proposed.

Construction and application of electric selling real-time forecasting analyzing system of Tianjin Electric Power Company;

Available parking space occupancy change characteristics and short-term forecasting model;

Using forecasting algorithms in the traffic flow short-term forecasting system to analyze traffic data and predict the traffic flow condition in short time so as to adopt some relevant traffic controlling and guiding measures.