辽宁工程技术大学学报（自然科学版）2017，Vol.36Issue(5)：523-527,5.DOI:10.11956/j.issn.1008-0562.2017.05.014
非等间隔灰色预测模型的二次优化
Re-optimization of non-equilditant gray model
摘要
Abstract
In order to improve the prediction accuracy of non-equilditant sequence data,this paper used a new weighted method of non-equilditant sequence data and turned it into the equal interval series.Based on this,the model of initial conditions adaptive optimization function was used to quadratic optimization,and finally grey forecasting model was obtained.And this model used for modeling,analysis,prediction and calculation of squared residuals and average MSE with the actual measured data,and comparing the accuracy of this model and other models.The results show that the model in the non-equilditant sequence data processing has better prediction accuracy.关键词
非等间隔序列/等间隔序列/初始条件/自适应性/灰色预测模型Key words
non-equilditant sequence/equilditant sequence/initial condition/adaptive/grey forecasting model分类
天文与地球科学引用本文复制引用
池其才,周世健,王奉伟..非等间隔灰色预测模型的二次优化[J].辽宁工程技术大学学报（自然科学版）,2017,36(5):523-527,5.基金项目
国家自然科学基金目(41374007) （41374007）
测绘地理信息江西省研究生创新教育基地项目(2310700008) （2310700008）
江西省研究生创新项目(YC2015-S262) （YC2015-S262）
