%0 Journal Article
%T SVM Model with Peak Value Recognition and Its Application to Hourly Water Consumption Forecasting<br>峰值识别的SVM模型及在时用水量预测中的应用
%A YU Ting-chao
%A ZHANG Tu-qiao
%A LIU Jing-qing
%A <br>俞亭超
%A 张土乔
%A 柳景青
%J 系统工程理论与实践
%D 2005
%I 
%X 提出了一种峰值识别理论及相应改进的SVM模型.该模型在结构风险最小化准则的目标函数中加大峰值误差的权重,并结合杭州市时用水量预测实践结果,其能很大提高对峰值用水量的预测精度.模型还把时用水量序列分为参数优化集和训练预测集,以对参数C、γ优化选取.
%K support vector machine
%K hourly water consumption
%K forecasting<br>支持向量机(SVM)
%K 时用水量
%K 预测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=962324E222C1AC1D&jid=1D057D9E7CAD6BEE9FA97306E08E48D3&aid=C6E5927724BF02A7&yid=2DD7160C83D0ACED&vid=C5154311167311FE&iid=CA4FD0336C81A37A&sid=03A030BB0C519C60&eid=12DC19455C3A2FA8&journal_id=1000-6788&journal_name=系统工程理论与实践&referenced_num=5&reference_num=15