BP人工神经网络的计算机仿真方法在城市供水量预测中的应用

o conserve energy and water, a city＇s water companies need to record the estimated future water supply for a time (the next day or week) of water, to arrange for the future (the time) the production scheduling plans. The basis of the data (2008, part of the month), the paper through the use of BP artificial neural network computer simulation method has been total and the highest water temperature, minimum temperature, the relationship between the price of water, and 2008 1 On the water companies (a plant and Plant) and a total water supply plant for a scientific forecast. For the conservation of water resources in addition to formulate laws and regulations and strengthen the publicity, raising the water price is the major water-saving measures. Once the price of water used each year for the measures to August 2008 the water supply of not more than 50.45 million tons, we determine a reasonable price adjustment programmes.