基于模糊神经网络的区域需水预测计算模型  

Calculation model of the water demand prediction in area based on fuzzy neural network

作　　者：方浩[1] 李蓓[2] 石娜[1] 谢能刚[1] 

机构地区：[1]安徽工业大学 [2]华南理工大学

出　　处：《西北水资源与水工程》2003年第4期1-3,共3页Northwest Water Resources & Water Engineering

基　　金：江苏省水利科技重点项目(1998-01-02)

摘　　要：将神经网络和模糊理论相结合建立模糊神经网络模型,从模糊神经网络角度并运用灰色系统理论对区域需水量进行预测,通过应用于盐城市在未来2010年需水预测的实例,计算分析结果表明该模型具有良好的可行性和合理性,可以借此深入分析外生变量与区域需水量之间的关系。The model of fuzzy neural network is established by combining neural network with fuzzy theory. In view of fuzzy neural network, the quantity of water demand in area is predicted by using grey system theory. Applying to the instance of water demand prediction in Yancheng city in future 2010, the results show that this model is reasonable and practicable by calculating and analyzing. This model can analyze the relationship between exogenous variants and water demand in area.

关 键 词：需水量 模糊神经网络 盐城市 灰色系统 灰色模型 

分 类 号：TV211.1[水利工程—水文学及水资源]