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 an indispensable technical method for planning and managing water resources, which is particularly important in water-scarce areas. Proper and accurate forecast of water demand in the future can avoid the waste of investment or reduce the future crisis of water supply. Jiangxi Province as an example, the BP neural network algorithm is used to predict and evaluate the recent demand of water in Jiangxi Province. The results are compared with those of other methods. The comparison results show that the neural network algorithm predicts the success of water demand.