摘要
基于人工免疫原理,提出一种在线构造T-S模糊系统的建模方法.该方法结合网格空间划分方法,以建模数据为抗原,模糊规则为抗体,采用人工免疫原理确定系统结构,并应用最小二乘方法估计线性规则后件参数.该方法具有简单、学习速度快、实时性强等特点,适合多输入模糊系统的在线学习和结构调整.
A modeling method is proposed to establish T-S fuzzy system based on immune theory. Using the grid-type method to partition the space, regarding the modeling data as the antigen and the fuzzy rules as the antibody, this method determines the structure of T-S system with immune theory and adopts the least square method to estimate consequent parameters of the linear rule. With many advantages such as simplicity, fast learning and powerful realtime performance, this method is suitable for online learning and struture adjustment of multi-input fuzzy systems.
出处
《信息与控制》
CSCD
北大核心
2006年第4期432-437,共6页
Information and Control
