关键词: 差异演化算法, 神经网络, 预测, 实数编码

Abstract: Structural designing of artificial network is always a trouble problem without systematic rule and local minimum usually connects with conventional grads based on parameters optimization.Aiming at the drawback in classical BP artificial networks and combining with differential evolution algorithms,this paper puts forwards the prediction model based on real number coded DE-BP artificial networks.This model achieves satisfactory results on tax forecasting.

Key words: Differential Evolution(DE), neural network, prediction, real-coded