earticle

영어

Aimed at the highly nonlinear and uncertainty of gold price changes, a new method for gold price predition based on improved PSO-BP is proposed. By introducing mutation operation and adaptive adjust of inertia weight , the problem of easy to fall into local optimum, premature, low precision and low later interation efficiency of PSO are solved. By using the improved PSO to optimiaze BP neural network’s parameters, the learning rate and optimization capability of conventional BP are effectively improved. The simulation results of gold price prediction show that the predict accuracy of the new method is significantly higher than that of conventional BP neural network and wavelet neural network method. And the method is effective and feasible.