摘要
介绍了可利用市政管网压强能量的二次供水系统的用水模型.并针对城市供水系统的复杂性、非线性、时变性和多因素影响的特点,引入人工神经网络,用于管网状态负荷预测.
Because of the irrational way of water supply and lack of excellent control method, large energy is wasted during secondary water supply. This paper introduces a water supply model which can make full use of the energy of water supply network and aiming at the multi-factor influences on urban water supply system such as the complexity, non-linearity, time-variation etc. The artificial neuro-network (ANN) are conducted to estimate the loading of urban water supply.
出处
《厦门大学学报(自然科学版)》
CAS
CSCD
北大核心
2001年第z1期94-97,共6页
Journal of Xiamen University:Natural Science
基金
福建省自然科学基金资助项目(D9910010)