基于BP神经网络模型预测区域需水量

Forecast of Areal Water Demand Based on BP Neural Network Model

水资源短缺制约了区域经济的发展,成为其发展"瓶颈",对区域需水量进行预测提高了水资源的利用效率,对缓解水资源供需不平衡现象起到了显著的作用。该文应用BP神经网络对区域各部门需水量进行了预测,经实例验证不但精度可靠,而且可综合考虑各部门需水量的影响因素,对区域生态环境需水量也进行预测,这对改善生态环境,提高生活质量可起到重要作用。

The shortage of water resource restricts the development of the areal economy,which becomes the 'bottleneck' of its development.The forecast of areal water demand can enhance the utilization efficiency of water resource and play the obvious action to release the unbalanced phenomena of water resource demand and supply.The article applies BP neural network to forecast the water demand of every department in the area.It is not only accurate and reliable,but also able to comprehensively consider the influence factors on the water demand of every department after the validation of cases,and also forecast the water demand of the areal ecological environment.It can play the important action to prove the ecological environment and enhance the living quality.