沈阳农业大学学报2012，Vol.43Issue(2)：253-256,4.
基于粒子群优化算法的灰色预测模型GM(1,1)改进
The Improvement on Gray Prediction Model GM(1,1) Based on Particle Swarm Optimization Algorithm
何剑宇1
作者信息
- 1. 辽宁现代服务职业技术学院,沈阳110164
- 折叠
摘要
Abstract
In order to improve the prediction accuracy of grey forecasting model GM(1,1) in a complex system, the improvement to the gray CM (1,1) model from the original data and the predicted value was made. The improvement of predicted value using background value restructuring and particle swarm optimization to improve the predicted value for the traditional CM (1,1) model was studied, and the best predicted value was obtained. The computation of the example proved that the residual mean and the relative residual of improved GM (1,1) model was far smaller than the conventional model. Its prediction efficiency and the confidence level have improved largely.关键词
GM(1,1)模型/背景值重构/粒子群优化算法Key words
GM(1,1) model/ background value restructuring/ particle swarm optimizes algorithm分类
数理科学引用本文复制引用
何剑宇..基于粒子群优化算法的灰色预测模型GM(1,1)改进[J].沈阳农业大学学报,2012,43(2):253-256,4.
