摘要
该文介绍了自适应神经模糊推理系统的结构原理和推理方法,针对典型非线性系统,借助matlab中ANFIS的功能讨论训练次数、隶属度函数的数目及类型对自适应神经模糊推理系统(ANFIS)的直接影响,为后续对动态非线性系统的进一步研究打下了基础。
Adaptive network based fuzzy inference systems(ANFIS),whose structural theory and method are described in the paper.In allusion to typical non-linear system,direct effect of adaptive network based fuzzy inference systems (ANFIS)about training times,the number and type of membership functions is researched by ANFIS of matlab,which sets foundation for future research of dynamic non-linear system.
作者
杨媛媛
梁霭明
YANG Yuan-yuan1, LIANG Ai-ming2 (1.Department of Computer Science and Technology, Guangdong Polytechnic Normal University Tianhe College, Guangzhou 510540, China; 2.SAE, Dongguan 523082, China)
出处
《电脑知识与技术（过刊）》
2010年第15期4023-4025,共3页
Computer Knowledge and Technology
关键词
自适应
神经模糊
非线性
隶属度
adaptive
neural-fuzzy
non-linear
membership function
