桂林电子科技大学学报Issue(5)：416-418,423,4.
基于灰色模型和支持向量机的组合预测模型
A combination forecasting model based on grey model and support vector machine
摘要
Abstract
In order to improve the accuracy of the forecasting model,a combination forecasting model based on grey model and support vector machine is presented.Each data of the accumulated sequence is used for the initial condition to establish the grey model.Then the optimal combination of the grey model is built,and the optimal prediction model is established by support vector machine.The simulation prediction experiment is conducted according to 1 993-2001 air travel passenger transportation volume in Chengdu.The experimental result shows that compared with the traditional grey model and the grey neural network model,the combination forecasting model based on grey model and support vector machine effectively improves the prediction precision.关键词
灰色模型/支持向量机/时间序列预测Key words
grey model/support vector machine/time series forecasting分类
信息技术与安全科学引用本文复制引用
刘齐林,曾玲,曾祥艳..基于灰色模型和支持向量机的组合预测模型[J].桂林电子科技大学学报,2015,(5):416-418,423,4.基金项目
广西教育厅科研项目(KY2015YB113) （KY2015YB113）
桂林电子科技大学研究生教育创新计划(YJCXS201553) （YJCXS201553）
