模糊神经网络在恒压供水系统中的应用  

The application of fuzzy neural network in constant pressure water supply system

作　　者：刘超山 

机构地区：[1]贵州大学,贵州贵阳550025

出　　处：《供水技术》2015年第6期39-42,共4页Water Technology

摘　　要：针对恒压供水系统迟滞性、非线性时变性提出了模糊神经网络恒压供水系统。以模糊控制表格为样本在MATLAB训练模糊神经网络确定网络参数,实现了对恒压供水系统的有效控制,同时解决了传统模糊控制表格占用大量内存空间,查表反应速度慢,模糊子集对论域覆盖程度较差的缺点。The constant pressure water supply system based on fuzzy neural network was presented aiming at the hysteresis and nonlinear time varying of the constant pressure water supply system. Taking the fuzzy control table as the sample,fuzzy neural network was trained in MATLAB and network parameters were determined to realize effective control for the constant pressure water supply system.Meanwhile the problem exiting in traditional fuzzy controller such as taking up a lot of memory space,slow speed of searching table and poor coverage of the domain in the fuzzy subset could be solved.

关 键 词：恒压供水 神经网络模糊控制 神经网络 

分 类 号：TU991.33[建筑科学—市政工程]