Multioutput Adaptive Neuro-fuzzy Inference System

被引：0
|
作者：
Benmiloud, T. [1 ]
机构：
[1] Univ Sci & Technol Oran, Fac Elect Engn, Dept Electrotech, Lab Dev Entrainements Elect, El Mnaouar Oran, Algeria
来源：
RECENT ADVANCES IN NEURAL NETWORKS, FUZZY SYSTEMS & EVOLUTIONARY COMPUTING | 2010年
关键词：
multi-output adaptive neuro-fuzzy inference system; training; gradient descent;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we propose a new type of multi output adaptive neuro-fuzzy inference system (MANFIS) with several outputs. To proves its performances, the proposed multi output ANFIS is used to make the approximation at the same time of three different functions. Simulation results show that this neuro-fuzzy system can approximate, with the desired precision, these three functions.
引用
收藏
页码：94 / 98
页数：5
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