Efficient VLSI Architecture for Training Radial Basis Function Networks

Efficient VLSI Architecture for Training Radial Basis Function Networks

This paper presents a novel VLSI architecture for the training of radial basis function (RBF) networks. The architecture contains the circuits for fuzzy C-means (FCM) and the recursive Least Mean Square (LMS) operations. The FCM circuit is designed for the training of centers in the hidden layer of...

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Bibliographic Details
Main Authors: Wen-Jyi Hwang, Zhe-Cheng Fan
Format: Article
Language:English
Published: MDPI AG 2013-03-01
Series:Sensors
Subjects:
reconfigurable computing
system on programmable chip
FPGA
radial basis function
fuzzy C-means
Online Access:http://www.mdpi.com/1424-8220/13/3/3848

Internet

http://www.mdpi.com/1424-8220/13/3/3848

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