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径流中长期预报模糊识别优化模型及应用
引用本文:李希灿,王静,赵庚星.径流中长期预报模糊识别优化模型及应用[J].数学的实践与认识,2010,40(6).
作者姓名:李希灿  王静  赵庚星
作者单位:1. 山东农业大学,信息科学与工程学院,山东,泰安,271018;国土资源部,土地利用重点实验室,北京,100035
2. 国土资源部,土地利用重点实验室,北京,100035
3. 山东农业大学,资源与环境学院,山东,泰安,271018
基金项目:国家科技支撑计划项目(2006BAJ05A08,2006BAB15B04)
摘    要:对水文中长期预报模糊识别方法进一步研究,基于模糊环境下的目标函数,提出了具有主观监督因子和稳定系数的模糊识别预报模型.根据已知样本的最优模糊划分建立预报模型,利用已知样本的指标和样本的最优模糊划分计算预报模型的参数,给定模型的稳定系数,再通过调整主观监督因子对预报模型参数进行优化.径流中长期预报实例的模型检验平均相对误差为7.84%.

关 键 词:径流预报  模糊识别  预报参数  主观监督因子  稳定系数

Fuzzy Recognition Optimization Model for Mid and Long Term Runoff Forecasting
LI Xi-can,WANG Jing,ZHAO Geng-xing.Fuzzy Recognition Optimization Model for Mid and Long Term Runoff Forecasting[J].Mathematics in Practice and Theory,2010,40(6).
Authors:LI Xi-can  WANG Jing  ZHAO Geng-xing
Institution:LI Xi-can~(1,2),WANG Jing~2,ZHAO Geng-xing~3 (1.School of Information Science , Engineering,Sh,ong Agricultural University,Taian 271018,China) (2.Key Laboratory of L, Use,the Ministry of L, , Resource of China,Beijing 100035,China) (3.School of Resource , Environment,Taian Sh,ong 271018,China)
Abstract:The paper has further studied the algorithm of fuzzy recognition for mid and long term runoff forecasting,based on the new fuzzy objective function with subjective supervision factor and stability coefficient,the fuzzy recognition model for mid and long term runoff forecasting is presented.The optimization principle is that forecasting model was built according to known samples' best fuzzy classification,and the forecasting model's parameters are determined by using samples' index and best fuzzy classificat...
Keywords:runoff forecasting  fuzzy recognition  forecasting parameter  subjective supervision factor  stability coefficient  
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