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基于模糊神经网络的区域需水预测计算模型
引用本文:方浩,李蓓,石娜,谢能刚. 基于模糊神经网络的区域需水预测计算模型[J]. 水资源与水工程学报, 2003, 14(4): 1-3
作者姓名:方浩  李蓓  石娜  谢能刚
作者单位:1. 安徽工业大学,安徽,马鞍山,243002
2. 华南理工大学,广东,广州,510640
基金项目: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。

关 键 词:需水预测  模糊神经网络  灰色模型
文章编号:1008-5858(2003)04-0001-03
修稿时间:2003-05-19

Calculation model of the water demand prediction in area based on fuzzy neural network
FANG Hao,LI Bei,SHI Na,XIE Neng-gang. Calculation model of the water demand prediction in area based on fuzzy neural network[J]. Journal of water resources and water engineering, 2003, 14(4): 1-3
Authors:FANG Hao  LI Bei  SHI Na  XIE Neng-gang
Affiliation:FANG Hao~1,LI Bei~2,SHI Na~1,XIE Neng-gang~1
Abstract: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.
Keywords:water demand prediction  fuzzy neural network  grey model
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