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神经网络在城市用水量预测中的应用研究
引用本文:赵瑞,申金山,郭院成. 神经网络在城市用水量预测中的应用研究[J]. 郑州大学学报(工学版), 2000, 21(1): 75-77
作者姓名:赵瑞  申金山  郭院成
作者单位:郑州工业大学土木建筑工程学院!河南郑州450002(赵瑞,申金山,郭院成),哈尔滨建筑大学建设经济研究所!黑龙江哈尔滨150006(关柯)
基金项目:河南省自然科学基金资助项目! (96 40 430 0 0 0 )
摘    要:考虑城市用水量受众多因素影响 ,具有系统稳定性和非线性的特点 ,探讨了基于神经网络的城市用水量预测的非线性时间序列递推预测方法 ,并利用该方法对郑州市城市用水量进行了时间序列模拟 ,实例证明了该方法的正确性和科学性 .将神经网络的BP算法应用于城市用水量系统的建模和预测 ,并给出了较为详细的计算结果 ,具有一定的理论价值

关 键 词:神经网络  BP算法  用水量  非线性预测
修稿时间:1999-10-15

Applicationof Neural Network in the Forecasting of UrbanWater Consumption
ZHAO Rui ,SHEN Jin-shan ,GUO Yuan-cheng ,GUAN Ke. Applicationof Neural Network in the Forecasting of UrbanWater Consumption[J]. Journal of Zhengzhou University: Eng Sci, 2000, 21(1): 75-77
Authors:ZHAO Rui   SHEN Jin-shan   GUO Yuan-cheng   GUAN Ke
Affiliation:ZHAO Rui 1,SHEN Jin-shan 1,GUO Yuan-cheng 1,GUAN Ke 2
Abstract:In view of urban water consumption's being affected by many factors and its systemic stability and non-linear characteristic,a non-linear time series forecasting method is studied in this paper based on neural network,and it was used to predict the water consumption for Zhengzhou city to verify its accuracy and rationality.It is for the first time to apply the method of BP neutral network to modeling and predicting urban water consumption system.Also,the detailed results of calculation are put forward.
Keywords:neural network  BP algorithm  water consumption  non-linear forecasting
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