摘要
对于信息丰富、数据较多的原始数列,采用灰色动态模型群法进行预测,考虑近期信息对未来的影响,可避免单一灰色模型容易利用不稳定信息的缺陷,使预测精度更加准确。本文介绍灰色动态模型群法的建模原理,并利用该方法对济南市工业取水量进行了中长期预测。通过与实际值及其它方法对比表明,该方法预测结果可靠,受人为因素影响较小,实用方便。
GDMG （grey dynamic model group） can pay more attention to recent data and avoid using uncertain information to get more reasonable results. The method of GDMG is introduced in this paper. A middle and long term forecast for industrial water demand of Ji＇nan city is made by GDMG. The predicted results of GMDG are reliable and practical by comparing with actual data and other method results.
出处
《水资源与水工程学报》
2005年第3期44-47,共4页
Journal of Water Resources and Water Engineering
关键词
灰色动态模型群
工业取水量
取水量预测
grey dynamic model group
industrial water demand
water demand predict
