A soft-sensor architecture based on back propagation(BP)neural networks combining canonical correlation analysis as well as data auto-regression was proposed to infer melt index(MI)from other given process variables.

Monocular vision distance detection algorithm based on data regression modeling;

Best running current of diaphragm caustic soda production in ideal conditions were calculated by two ways which is chart intersect mehtod and data regression method.

The time series model of Guangxi s GDP is established using comprehensively the method of judging the stationary time series process, using the method of unit root to test the difference order, and using the autocorrelation and partial autocorrelation functions graph to identify the autoregressive process of order (AR(p)) and sliding average process of order (MA(q)).

A sensitivity matrix consisting of the first differential of the autoregressive coefficients of the time series models with respect to the stiffness of the structural elements is then obtained based on simulated time.