摘要： 简要地介绍了神经网络的结构及训练算法,并分析了影响税收的一些主要因素。在此基础上提出了基于神经网络的税收预RBFRBF测模型。实验及仿真结果说明了模型的有效性。

关键词: RBF(径向基函数)神经网络, 税收预测模型, 训练算法

Abstract: The paper introduces the structure of RBF neural network and learning algorithm, and analyzes primary elements which influence tax. On the basis of these, the paper puts forward tax predictive model based on RBF neural network. The experiment and simulation show the effectiveness of the model.

中图分类号: 

• TP183