BP神经网络算法在需水预测与评价中的应用

Forecasting and Analysis of Water Demand in Jiangxi Province in the Near Future

需水预测是进行水资源规划与管理的必备技术方法,在水资源短缺的地区显得尤为重要.合理而准确地预测未来的需水量,可以避免投资的浪费或减少将来用水危机的发生.以江西省为例,采用BP神经网络算法对江西省近期的需水进行预测与评价,将结果与其它方法预测的进行比较,比较结果说明神经网络算法预测需水是成功的。

Water demand forecasting is a necessary technology to plan and manage the water resources, it is especial important to many facing the threat of water scarcity regions. How to forecast water demand accurately in avoidance of the waste of investment and water use crisis is very crucial currently. In this paper, take Jiangxi Province as example, we applied BP neural networks algorithm to forecast water demand in Jiangxi Province in the near future, taking the result compared with other forecasting method, the result show that BP neural networks algorithm is successful in water demand forecasting.