摘要
利用误差最小原则,引入微粒群算法对GM(1,1)模型预测精度进行了优化,将改进后的模型应用到工程管理中,对工程投资与进度进行预测与分析,通过与实际数据以及经典灰预测模型预测结果的比较可知,改进的灰预测模型能够明显的提高预测精度,预测结果与实际数据吻合的比较好。
The study undertakes the optimization of GM（1,1） formwork’s prediction accuracy by using the particle swarm optimization and the error minimum principle,applies the improved formwork in the engineering management,predicts and analyzes the engineering investment and the progress,and discloses by the comparison with the factual data and the typical grey prediction formwork’s prediction accuracy that the improved grey-prediction model can improve the prediction accuracy obviously and the prediction result is close to the factual data.
出处
《山西建筑》
2012年第15期275-276,共2页
Shanxi Architecture
关键词
灰预测
微粒群算法
工程管理
grey prediction
particle swarm optimization
engineering management
