人工神经网络在中水供水量预测中的应用

Application of ANN in Forecasting of Regeneration Water Supply

为了保护有限的水资源,促进中水回用,某城市中水公司需要根据供水量的记录来预测未来某时的用水量,以安排生产调度计划。根据已有的记录,通过运用BP人工神经网络的计算机模拟得出供水量与最高、最低、平均温度和焦炭、焦煤价格指数的关系,模拟数据与实际数据基本一致,可用该方法对未来一个月的供水量进行预测。

A regeneration water supply company must make plans for their production, depending on the needs of their customers. We use BP ANN to simulate the water supply amount based on the data of daily record. This can give us the relationship of water supply amount, temperature, prices of the coke and coal. The simulative data approach with the real data. It can give us a forecast of the water supply amount for next month.