Embedded Adaptive Neuro Fuzzy Inference System with Hardware Implemented Real Time Parameter Update

被引：2

作者：

Brassai, Sandor Tihamer ^{[1
]}

Hajdu, Szabolcs ^{[1
]}

Tamas, Tibor ^{[1
]}

机构：

[1] Sapientia Univ, Dept Elect Engn, Fac Tech & Human Sci, Targu Mures, Romania

来源：

MACRO 2015: PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON RECENT ACHIEVEMENTS IN MECHATRONICS, AUTOMATION, COMPUTER SCIENCES AND ROBOTICS | 2015年

关键词：

ANFIS; hardware implementation; embedded systems; neuro fuzzy control; ALGORITHM; ANFIS;

D O I：

10.1515/macro-2015-0021

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In the paper a Sugeno architecture based hardware implemented neuro adaptive inference system's training algorithm is presented. The block diagram of the neuro-adaptive inference system output computing implemented in hardware is discussed, and the implementation in reconfigurable circuit of real-time parameter tuning is presented. The proposed system functionality based on measurements achieved is demonstrated. The resulted architecture has a very high processing speed, and the parameter adaptation works in parallel with the output processing. The proposed architecture can also be used for different training algorithms' development.

引用

页码：211 / 222

页数：12

共 9 条

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