The Method of Hardware Implementation of Fuzzy Systems on FPGA

被引：8
|
作者：
Przybyl, Andrzej [1 ]
Er, Meng Joo [2 ]
机构：
[1] Czestochowa Tech Univ, Inst Computat Intelligence, Czestochowa, Poland
[2] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore, Singapore
来源：
ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, ICAISC 2016 | 2016年 / 9692卷
关键词：
Hardware implementation of fuzzy systems; FPGA; Radial basis function; NONPARAMETRIC IDENTIFICATION; LOGIC CONTROLLER; NEURAL-NETWORKS; DESIGN; CLASSIFICATION; PREDICTION; SERIES;
D O I：
10.1007/978-3-319-39378-0_25
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 a method of implementation of fuzzy system on FPGA devices is presented. The method applies to a class of fuzzy systems which are functionally equivalent to a radial basis function networks. In the paper the example fuzzy system was implemented on the FPGA device with the use of the proposed method. The results confirm a high performance of the obtained fuzzy system. This was achieved at a reasonable consumption of the hardware resources of the FPGA.
引用
收藏
页码：284 / 298
页数：15
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