|
|||||
|
|
| BP神经网络在城市需水量预测中的应用 | |
| 引用本文： | 刘俊良,刘兴坡,张树军,高永. BP神经网络在城市需水量预测中的应用[J]. 河北建筑工程学院学报, 2001, 19(2): 1-3 |
| 作者姓名： | 刘俊良 刘兴坡 张树军 高永 |
| 作者单位： | 1. 河北建筑工程学院 2. 武汉大学土建学院 3. 张家口农业高等专科学校 |
| 摘 要： | 将BP神经网络方法,引入到城市需水量预测中,表现需水量众多影响因子的非线性复杂因果规律,结果表明,神经网络方法应用到城市需水量预测中具有较强的预测能力和很高的可信度,技术上是可行的。 |
| 关 键 词： | BP神经网络 预测 城市需水量 |
| 修稿时间： | 2001-04-09 |
The Application of BP Neural Networks in the Prediction of Urban Waterdemand |
|
| Liu Junliang,Liu Xingpo,Zhang Shuijun,Gao Yong. The Application of BP Neural Networks in the Prediction of Urban Waterdemand[J]. Journal of Hebei Institute of Architectural Engineering, 2001, 19(2): 1-3 | |
| Authors: | Liu Junliang Liu Xingpo Zhang Shuijun Gao Yong |
| Affiliation: | Liu Junliang Liu Xingpo Zhang Shuijun Gao Yong HeBei Institute of Architecture and Civil Engineering; Institute of Civil Engineering WuHan University; Zhangjiakou Academy of Agriculture |
| Abstract: | The introduction of Back Propagation neural networks to the prediction of urban waterdemand to show the non-linear elaborate causal law of the populous influential factors of waterdemand pioneers an entire-new approach to the prediction of urban waterdemand, The results indicate that the introduction of Back Propagation neural networks to the prediction of urban waterdemand has a high predicable ability and credibility and is feasible in technology. |
| Keywords: | Back Propagation neural networks prediction urban waterdemand |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |