To overcome the difficulty of analytic modeling of missile platform, support vector regression (SVR) was adopted to identify the model of platform parameter, including pitch angle θ₁, yaw angle θ₂, roll angle θ₃, accelerometer equivalent w₁,w₂,w₃, shifting output equivalent C₁₄. The inputs of SVR were four groups' data, and the output was one group of data. The SVRs were trained by least square algorithm. The simulation demonstrates that the model identification testing precision is 2.56% which satisfies requirement of missile platform shifting process modeling.