基于径向基函数神经网络的海南省社会经济数据分析

本文提出了基于径向基函数神经网络的预测方法,综合分析了近年来海南省经济数据的特点,考虑了决策变量之间的耦合和不确定关系,并解释了变量构建决策因子矩阵,同时将预测函数作为目标矩阵,使用神经网络方法训练权重,仿真结果证明:分析可行有效,可对经济走向做出合理的预测.

Analysis of Social Economy Data of Hainan Province Based on Radial Basis Function Neural Networks

In the report,a prediction method based on radial basis function neural networks was proposed,the characteristics of economic data of Hainan during last several years were analyzed,the coupling,uncertain relationship between decision variables was discussed,the variables to construct decision matrix were explained,the predict function was used as target matrix,and the neural networks method was used to train weights. The simulation results indicated that the analysis forecast is reasonable and effective.