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

页码：284 / 298

页数：15

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