摘要
本文提出一种基于模糊神经网络的智能温度控制器，给出了模糊神经网络模型和一种快速的学习算法（MDFP），并通过自学习不断修正模糊控制器的隶属函数和权值，实现了模糊逻辑规则的自动更新。经仿真和温控结果表明，这种智能控制器具有良好的控制性能。
This paper presents a new intelligent temperature controller based on fuzzy logicneural network. A fuzzy neural network medel and learning algorithm (MDPF) is proposed inthis paper. The controller is able to modify the membership function on-line, which makes itpossible to update the fuzzy rules autornatically. The simulation results and temPerature controlshow that the intelligent controller has features of response fast, overshoot small, and gnd robust performance in temperature control.
出处
《电子测量与仪器学报》
CSCD
1997年第1期17-23,共7页
Journal of Electronic Measurement and Instrumentation
基金
国家"八五"重点科技进步课题
