[1]方千山.B-Spline函数的自适应网络模糊推理系统[J].华侨大学学报(自然科学版),2003,24(4):358-363.[doi:10.3969/j.issn.1000-5013.2003.04.005]
　Fang Qianshan.An Adaptive Network Fuzzy Inference System Based on B-Spline Function[J].Journal of Huaqiao University(Natural Science),2003,24(4):358-363.[doi:10.3969/j.issn.1000-5013.2003.04.005]
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B-Spline函数的自适应网络模糊推理系统()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第24卷
期数:
2003年第4期
页码:
358-363
栏目:
出版日期:
2003-10-20

文章信息/Info

Title:
An Adaptive Network Fuzzy Inference System Based on B-Spline Function
文章编号:
1000-5013(2003)04-0358-06
作者:
方千山
华侨大学信息科学与工程学院 福建泉州362011
Author(s):
Fang Qianshan
College of Info. Sci. & Eng., Huaqiao Univ., 362011, Quanzhou, China
关键词:
B-Spline函数;  ANFIS;  B-ANFIS
Keywords:
B Spline function;  ANFIS;  B ANFIS
分类号:
O231
DOI:
10.3969/j.issn.1000-5013.2003.04.005
文献标志码:
A
摘要:
提出基于 B- Spline函数条件的自适应网络模糊推理系统 (B- ANFIS),该系统将 B- Spline和ANFIS两者有机地结合在一起,取长补短以达到简捷的隶属函数自寻优 .研究结果表明,该运算的速度快、系统的逼近误差小、精度高、简单、易行,非常适于隶属函数的在线优化
Abstract:
Based on B Spline function, the author puts forward here an adaptive network fuzzy inference system (ANFIS). For attaining forthright self optimizing of membership function, the system combines B Spline and ANFIS into an organic whole by drawing each other’s merits. As shown by results of study, this system is characterized by fast in operation and small in approximate error and high in accuracy. It is simple, feasible and quite suitable for the on line optimization of membership function.

参考文献/References:

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更新日期/Last Update: 2014-03-23