BP-人工神经网络在给水管网调整方案中的应用研究

根据天津开发区给水管网的现状分析和开发区近期供水规划,讨论了现状管网输配能力与未来供水需求的差距,基于管网运行的经济性和安全性,利用BP-人工神经网络的优化方法,提出了管网调整规划方案,并将其与传统方法进行对比。调整方案模拟计算结果表明,神经网络更能够反映影响该地区管网运行状况的因素,其优化结果更适用于该地区管网。

Application of BP-artificial neural network on reform planning of water supply network

Based on the analysis of current water supply network in Tianjin Economic Developing Area （TEDA） and recent water supply planning, the difference between water distribution capacity and future water demand was discussed. According to the principle of economical and safety, A reform planning of water supply network was proposed using the optimization method of BP-artificial neural network, and the comparison was made with traditional methods. Simulating calculation results of the reform planning showed that the neural network was able to reflect the factors influencing the condition of network operation in the area, and the optimization was more suitable for network in the area.