Improved LMBP algorithm in the analysis and application of simulation data

Based on the analysis of features and reasoning course of LMBP(Levenberg-Marquardt) algorithm, we propose the way of variable learning rate to improve the convergence speed. Using some literature data of reference standard database and program MATLAB simulation experiment, it shows that this improved the feasibility and effectiveness LMBP algorithm. Improving LMBP algorithm offers important reference value for combat simulation equipment for the analysis of the data characteristics and summary conclusions.