FPGA-based reconfigurable architecture for neural network

FPGA-based reconfigurable architecture for neural network

The objectives are to investigate the use of FPGA-based reconfigurable architecture to implement artificial neural networks; to propose implementation methodologies for designing neural networks’ training algorithm on FPGA devices and to describe the design and implementation of a prototype neural c...

Full description

Saved in:
Bibliographic Details
Main Author: Sim, Ui Tek.
Other Authors: School of Electrical and Electronic Engineering
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:http://hdl.handle.net/10356/3263
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
id sg-ntu-dr.10356-3263
record_format dspace
spelling sg-ntu-dr.10356-32632023-07-04T15:10:44Z FPGA-based reconfigurable architecture for neural network Sim, Ui Tek. School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems The objectives are to investigate the use of FPGA-based reconfigurable architecture to implement artificial neural networks; to propose implementation methodologies for designing neural networks’ training algorithm on FPGA devices and to describe the design and implementation of a prototype neural computing system based on FPGA devices. Master of Engineering 2008-09-17T09:25:52Z 2008-09-17T09:25:52Z 2001 2001 Thesis http://hdl.handle.net/10356/3263 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Sim, Ui Tek.
FPGA-based reconfigurable architecture for neural network
description The objectives are to investigate the use of FPGA-based reconfigurable architecture to implement artificial neural networks; to propose implementation methodologies for designing neural networks’ training algorithm on FPGA devices and to describe the design and implementation of a prototype neural computing system based on FPGA devices.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Sim, Ui Tek.
format Theses and Dissertations
author Sim, Ui Tek.
author_sort Sim, Ui Tek.
title FPGA-based reconfigurable architecture for neural network
title_short FPGA-based reconfigurable architecture for neural network
title_full FPGA-based reconfigurable architecture for neural network
title_fullStr FPGA-based reconfigurable architecture for neural network
title_full_unstemmed FPGA-based reconfigurable architecture for neural network
title_sort fpga-based reconfigurable architecture for neural network
publishDate 2008
url http://hdl.handle.net/10356/3263
_version_ 1772828497737154560

Similar Items