摘要
本文采用混沌蚁群算法对GM(1,1)模型计算结构进行优化,提高GM(1,1)模型计算效率和精度。并将基于该算法的GM(1,1)模型用于辽宁中部地区农业灌溉用水预测计算中。研究结果表明:相比于区域农业灌溉统计水量,模型预测的年灌溉水量误差小于20%,不同月份计算误差也小于25%,基于混沌蚁群算法的GM(1,1)模型在农业灌溉水量预测上具有一定精度和适用性。研究成果可为辽宁中部节水增量农业用水规划提供参考。
In this paper,the chaotic ant colony algorithm is used to optimize the computational structure of GM （ 1,1 ） model to improve the computational efficiency and precision of GM （1,1） model. The GM （1,1） model based on this algorithm is used in the calculation of agricultural irrigation water in central Liaoning.The results show that the error of annual irrigation water is less than 20% and the calculation error is less than 25% in different months.The GM （1,1） model based on chaotic ant colony optimization algorithm is better than the a- gricuhural irrigation water quantity Prediction accuracy and applicability.The research results can provide ref- erence value for water-saving agricultural water use planning in central Liaoning.
出处
《吉林水利》
2017年第4期20-22,27,共4页
Jilin Water Resources
关键词
混沌蚁群算法
GM(1
1)模型
农业灌溉用水预测
辽宁中部地区
chaotic ant colony algorithm
GM （ 1,1 ） model
agricultural irrigation water forecast
Liaoning cen-tral region
作者简介
宋楠（1980-），女，辽宁沈阳人，高级工程师，现从事水文专业工作。
