摘要
为了节约能源和水源,某城市的供水公司需要根据日供水量记录估计未来一时间段(未来一天或一周)的用水量,以便安排未来(该时间段)的生产调度计划。根据已有的数据(2006年的部分月份),通过运用BP人工神经网络的计算机仿真方法得到了供水总量与最高温度、最低温度、水价之间的关系,并对2008年1月该供水公司(一厂和二厂)供水总量和一厂供水量进行了科学的预测。预测的结果对该公司的实际生产有很强的指导意义,以此来决定下一季度的生产及规模。
To conserve energy and water, a city＇s water supply company needs to record and estimate the water consumption some time（the next day or week）in the future, so that they can arrange for the future（this time period）production scheduling plan. According to the data（some months of 2006）, the relationship between the total water supply and the highest water temperature minimum temperature and the price of water has been gotten based on through the use of BP neural network of the computer simulation method. And then we forecast the total water supply of the company（the 1s＇ plant and the 2r~ pant） in January of 2008. the forecasted results is of great guiding significance to the comp-any＇s actual production as to determine their next quarter＇s production and scale.
出处
《计算机与数字工程》
2009年第1期165-166,170,共3页
Computer & Digital Engineering
关键词
BP
人工神经模型
供水量预测
BP, artificial neural model,water supply forecasts
