基于径向基函数网络的社会消费品总额预测模型

The Social Consumable Total Amount Forecast Model Based on Radial Basis Function

利用BP、RBF神经网络自适应学习法模型,对社会消费品总额进行了预测和研究,结果表明用RBF网络自适应学习法所建立的模型经过训练后,可得到较精确的预测结果,并具有较强的应用性。

Using BP,the RBF neural network auto-adapted learning method model,the forecast and the research to the social consumable total amount has carried on,and final indication establishes the model with the RBF network auto-adapted learning method after the training,the precise forecast result may obtain,and has the strong utility.