Algorithm weight matrixes accurately express the complex non-linear relationships of lattice parameters of the two phases with temperatures and phase compositions are obtained based on the back-propagation neural network modeling on the practical values of temperature, phase composition and lattice parameter in various superalloys.

The module has functions of creating weight matrix,global spatial autocorrelation analysis and local spatial autocorrelation analysis,and can be plugged into ArcGIS applications.

By this ,this paper provide three training methods using weight matrix to emphasize the inherent differen.

It is the key technology for design of the constant beamwidth array to calculate the weight matrix.

A direct method to detecmine based on simple explicit relation among the optimal state feedback matix and the weighting matrices is proposed This method don′t need to do recursive calculation or complex transform for solving It is an effective approach to elminate the ″bottleneck″ problem that are caused by the application of LQ optimal theory to the engineerin

MPC solved a constrained convex quadratic optimization by defining reference trajectories, constraint limits, prediction horizon, control horizon and weighting matrices.

Based on the Hamiltonian system\'s theory,the relationship between closed-loop poles of system characteristic equation and weighting matrices was thoroughly investigated.

Optimized solution to the grid services matchmaking problem based on running time weight matrix;

Study on optimal weight matrix of MIMO-STBC transmitter;