Three selected samples of Huanghuai cyclone have been successfully simulated by using the meso- scale model MM5 initialized by the re-analysis NCEP and T213 data respectively. With the cyclone's positions and intensities simulated by MM5 as inputs, a liner neural network had been constructed. It can be found that the liner neural network could remarkably improve MM5's results.