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.
林健, 彭敏晶. 基于神经网络集成的GDP预测模型[J]. J4, 2005, 2(4): 434-.
LIN Jian, PENG Min-Jing. GDP Forecasting Model Based on Neural Networks Ensemble. J4, 2005, 2(4): 434-.