经济数学2016，Vol.33Issue(2)：50-56,7.
基于组合预测模型的广东省第三产业产值预测
Forecast of Third Industrial Output Value of Guangdong Province Based on Combination Forecasting model
摘要
Abstract
This paper analyzed the main factors on the improvement of tertiary industry ,and pointed out that the single forecast model was difficult to satisfy the need of economic forecasting as the factors restrict and influence each other .On this basis ,we proposed the combination forecasting model based on neural network ensemble ,forecasted the development of tertia‐ry industry of Guangdong Province ,and described the basic principles and data processing algorithms .The empirical analysis shows that the combination forecasting model based on neural network ensemble has high prediction accuracy than a single fore‐cast model .关键词
第三产业/核方法/组合预测/支持向量回归/神经网络Key words
tertiary industry/kernel method/forecast model/support vector regression/neural network ensemble分类
自科综合引用本文复制引用
叶艺勇..基于组合预测模型的广东省第三产业产值预测[J].经济数学,2016,33(2):50-56,7.基金项目
通货膨胀对我国工业经济运行效率的影响机制、效应与对策研究 （）
