节点文献
改进BP网络模型在年用水量预测中的应用
Application of Improved BP Model for Forecasting Annual Water Demand
【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,利用人工神经网络理论建立了改进BP网络预测模型,通过实例证明了该模型是一种行之有效的用水量预测模型。
【Abstract】 In view of urban water consumption’s being affected by many factors and its system is stability and nonlinear characteristic. A improved BP forecast model therefore built using the artificial neural network theory. Typical examples proved that the model is a very accurate water demand forecast model.
【关键词】 城市用水量;
预测;
人工神经网络;
模型;
【Key words】 Water demand; forecasting; artificial neural network; model;
【Key words】 Water demand; forecasting; artificial neural network; model;
- 【文献出处】 水科学与工程技术 ,Hebei Water Resources and Hydropower Engineering , 编辑部邮箱 ,2005年01期
- 【分类号】TU991.31
- 【被引频次】20
- 【下载频次】213