摘要
研究用于模糊控制的修正因子在线专家自学习方法，并在计算机上进行了仿真。结果表明：该专家模糊控制方法对其修正因子调整具有良好的自学习能力及收敛性。
In this paper, the on-line expert self-learning method for modifiable factors of fuzzy control is studied and simulated on microcomputer, and the results show that the expert fuzzy control approach to tuning moifiable factors has good self-learning ability and convergence.
出处
《控制与决策》
EI
CSCD
北大核心
1996年第3期256-260,271,共5页
Control and Decision
基金
国家自然科学基金
关键词
专家自学习算法
模糊控制
专家模糊控制
expert self-learning algorithm
fuzzy control
modifiable factors
pattern recognition
