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...

Full description

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

Internet

http://www.mdpi.com/2079-9292/7/8/145

Similar Items