The macroeconomic system is a large-scale complex one, and its forecasting is a tough job. Neural Network-based methods are widely used in macroeconomic forecast. However, due to the fluidity of Neural Network, no neural network model could give reasonable results. GDP forecasting is non-linear, time-changeable and uncertain. According to these characteristics, neural networks ensemble-based forecasting method was put forward to improve GDP forecast.