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 。
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.
出处
《郑州工业大学学报》
2000年第1期75-77,共3页
Journal of Zhengzhou University of Technology
基金
河南省自然科学基金资助项目! (96 40 430 0 0 0 )
关键词
神经网络
用水量
非线性预测
城市
供水设施
neural network
BP algorithm
water consumption
non-linear forecasting
