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基于模糊聚类理论的城市供水管网ANFIS系统设计
引用本文:刘洪波,张宏伟,张刚. 基于模糊聚类理论的城市供水管网ANFIS系统设计[J]. 天津大学学报(自然科学与工程技术版), 2007, 40(2): 247-252
作者姓名:刘洪波  张宏伟  张刚
作者单位:天津大学环境科学与工程学院,天津300072
基金项目:国家自然科学基金;高等学校博士学科点专项科研项目
摘    要:利用自适应神经模糊推理系统(ANFIS)较强的结构性知识表达能力、容错能力以及自动提取模糊规则的学习能力,依据城市供水管网的特点,建立了一种基于模糊聚类理论的管网宏观模型,即城市供水管网ANFIS模型.该模型以管网测压点及出厂流量各负荷值的峰值、低谷和一般作为类别模式进行减法聚类,利用Matlab工具箱genfis2函数产生的模糊推理系统进行状态模拟.实际仿真结果表明,该方法建模及求解简单、迅速,误差小,是研究城市管网宏观模型的又一有效方法.

关 键 词:城市管网  模糊聚类  自适应神经模糊推理系统
文章编号:0493-2137(2007)02-0247-06
修稿时间:2006-03-062006-11-07

Design of Adaptive Neuro-Fuzzy Inference System of Municipal Supply Water Networks Based on Fuzzy Clustering Theory
LIU Hong-bo,ZHANG Hong-wei,ZHANG Gang. Design of Adaptive Neuro-Fuzzy Inference System of Municipal Supply Water Networks Based on Fuzzy Clustering Theory[J]. Journal of Tianjin University(Science and Technology), 2007, 40(2): 247-252
Authors:LIU Hong-bo  ZHANG Hong-wei  ZHANG Gang
Affiliation:School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China
Abstract:A kind of municipal supply water networks macroscopic model is set up based on fuzzy clustering theory,namely adaptive neuro-fuzzy inference system(ANFIS) model.This model is put forward according to the characteristics of water supply networks and ANFIS with strong construction expressing ability,containing mistakes ability and study ability to automatically withdraw fuzzy rules.The peak value,low value and common value of the pressure monitoring points and the water supply plant runoffs are regarded as the sort mode to be subtractive clustering.The state of water supply networks is simulated by utilizing the fuzzy inference system from genfis2 function of Matlab toolbox.And the results show that this method is simple and rapid on modeling and solving with small error.
Keywords:municipal supply water networks   fuzzy clustering   adaptive neuro-fuzzy inference system
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