神经网络在GDP预测中的应用

Application of neural networks in the GDP forecasting

GDP预测因其影响因素众多,且各影响因素之间又存在着非常复杂的非线性关系,传统的线性预测方法对其进行预测时结果并不理想。基于提高GDP预测精度的考虑,运用人工神经网络的相关理论,建立了基于BP神经网络的黑龙江省GDP预测模型。结果表明,将神经网络应用于GDP预测可获得较高的预测精度,具有一定的实用价值。

There are many factors can influence GDP,and very complicated nonlinear relation among them,so the results of traditional linear forecasting method to GDP forecast were not ideal.Based on the consideration of increasing GDP forecast precision,built Heilongjiang province＇s GDP forecast model which based on the BP neural network by using the related theories of Artificial Neural Networks.The result shows that using Neural Networks in the GDP forecasting can gain a higher precision,and has certain practical values.