Forecasting of the total power of woodworking machinery based on SVM trained by GA

The forecasting for total power of woodworking machinery is a complicated non-linear system, whose developmental changes have dual trends of increase and fluctuation. In the study, support vector machine trained by genetic algorithm is proposed to forecast the total power of woodworking machinery. Genetic algorithm is used to determine training parameters of support vector machine in this model, which can optimize the SVM forecasting model. The experimental results indicate that the proposed support vector machine trained by genetic algorithm has good forecasting results in the application.