FENG Wei.Data prediction algorithm of dynamic adjustment for resolution coefficient in GM model[J].Journal of Yanbian University,2016,42(04):310-314.
动态优化GM模型中分辨率系数的数据预测算法
- Title:
- Data prediction algorithm of dynamic adjustment for resolution coefficient in GM model
- Keywords:
- genetic algorithm; grey model; data prediction
- 分类号:
- TP309.3
- 文献标志码:
- A
- 摘要:
- 为提高传统GM(1,1)算法的预测精度,运用遗传算法动态调整GM(1,1)中的均质生成数列分辨率系数,改变传统灰色模型的分辨率系数设置为1/2的计算模式,使得改进后的GM(1,1)算法针对小样本的预测具有更高的精度和鲁棒性.算法的数值实验结果表明,优化算法的预测精度高于传统的GM(1,1)算法和文献[3]中的算法.
- Abstract:
- In order to improve the prediction accuracy of traditional GM(1,1), the calculation model of the resolution coefficient of the homogeneous generated sequence which is set value of one-two in GM(1,1)is altered through using dynamically the resolution coefficient of the homogeneous generated sequence. The improved GM(1,1)algorithm have higher accuracy and robustness for small sample prediction. The result of the numerical experiment for the algorithm shows that the prediction accuracy of the optimized algorithm is higher than that of GM(1,1)algorithm and the algorithms in literature [3].
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备注/Memo
收稿日期: 2016-09-30 作者简介: 冯玮(1982—),女,讲师,研究方向为算法分析与设计、网络通讯与系统仿真.
基金项目: 福建省教育厅中青年项目(JAT160532); 宁德师范学院青年教师科研专项项目(2015Q15)