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基于粗集的水文单要素预报模型
引用本文:董四辉,阎善郁,王洪德.基于粗集的水文单要素预报模型[J].系统工程学报,2010,25(1).
作者姓名:董四辉  阎善郁  王洪德
作者单位:大连交通大学土木与安全工程学院,辽宁,大连116028
基金项目:大连市自然科学基金资助项目 
摘    要:基于粗集理论,应用水文系列自身的历史资料作为预报因子,建立了水文单要素分级预报模式.在建立预报模式的过程中,由属性重要度和规则出现频度最大原则确定问题的最小规则集,即预报模式集,提出应用预报模式集对预报对象的支持强度最大原则作预报决策.建立的模式经应用于大伙房水库年径流预报,表明应用粗集理论提取的预报模式集,能有效地描述预报因子与预报量间的强非线性映射关系,具有较高的判别率;粗集预报模式由简单的决策规则组成,易于理解与使用.

关 键 词:属性重要度  预报模型  粗集  水文  支持强度  单要素

A forecast model of hydrology single element based on rough set
DONG Si-hui,YAN Shan-yu,WANG Hong-de.A forecast model of hydrology single element based on rough set[J].Journal of Systems Engineering,2010,25(1).
Authors:DONG Si-hui  YAN Shan-yu  WANG Hong-de
Institution:DONG Si-hui,YAN Shan-yu,WANG Hong-de(School of Civil , Safety Engineering,Dalian Jiaotong University,Dalian 116028,China)
Abstract:A hydrology single element level forecast model is brought forward based on rough set theory.The model uses the historical data of hydrology series itself as forecast factors.The minimal rule set,i.e.,forecast pattern set,is achieved according to the principle of attribute significance and the maximal appearing frequency of rules.A principle of maximal support strength of the forecast pattern set for forecasting object is put forward and used to forecast in the model.The model is used to forecast annual run...
Keywords:attribute significance  forecast model  rough set  hydrology  support strength  single element
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