Research and application of combination prediction model for financial equipment sales

The product sales are affected normally by the seasonal cycle, and the new product sales are nonlinearity in general. According to the characteristics of financial equipments sales, fixed weights model and variable weights combination prediction model are proposed based on traditional seasonal index smoothing prediction and grey system prediction, aiming at to minimize the error sum of squares. JL302 micro paper currency sorting machine manufactured by an enterprise is taken as an example to simulation. The experimental results indicate the effectiveness and practicality of two combination prediction models.