FPGA Implementation of a Functional Neuro-Fuzzy Network for Nonlinear System Control

FPGA Implementation of a Functional Neuro-Fuzzy Network for Nonlinear System Control

This study used Xilinx Field Programmable Gate Arrays (FPGAs) to implement a functional neuro-fuzzy network (FNFN) for solving nonlinear control problems. A functional link neural network (FLNN) was used as the consequent part of the proposed FNFN model. This study adopted the linear independent fun...

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Bibliographic Details
Main Authors:	Jyun-Yu Jhang, Kuang-Hui Tang, Chuan-Kuei Huang, Cheng-Jian Lin, Kuu-Young Young
Format:	Article
Language:	English
Published:	MDPI AG 2018-08-01
Series:	Electronics
Subjects:	neuro-fuzzy networks entropy gradient descent functional link neural networks Field Programmable Gate Array (FPGA) control
Online Access:	http://www.mdpi.com/2079-9292/7/8/145

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