BP神经网络在城市需水量预测中的应用

The Application of BP Neural Networks in the Prediction of Urban Waterdemand

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。

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.