Special Performance Forecast for Shot Put Based on GA-BP

By using the characteristics of global optimization of GA and local optimization of BP neural network, the calculation accuracy and convergence rate of the traditional BP neural network are improved. Then a special performance forecasting model for shot put based on GA-BP is established. The numerical results show that the mean square errors, the mean absolute value of calculation and prediction are diminished. Therefore GA-BP is suitable to solve nonlinear problems such as prediction of special performance, and has high accurateness and application value.