Investigation of the sequential accelerator on the perceptron for pattern recognition

Investigation of the sequential accelerator on the perceptron for pattern recognition

Machine Learning methods have been widely used in recent years in many areas, such as object recognition, autonomous vehicle, recovery rate of symptoms and stock prediction. However, it is very difficult task to make a computer learn from experience as human can. Machine learning has been in the fie...

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Main Author: Sirote Saetang.
Other Authors: School of Electrical and Electronic Engineering
Format: Theses and Dissertations
Language:English
Published: 2013
Subjects:
DRNTU::Engineering::Electrical and electronic engineering
Online Access:http://hdl.handle.net/10356/53214
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-53214
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spelling sg-ntu-dr.10356-532142023-07-04T16:04:20Z Investigation of the sequential accelerator on the perceptron for pattern recognition Sirote Saetang. School of Electrical and Electronic Engineering Eric Sung DRNTU::Engineering::Electrical and electronic engineering Machine Learning methods have been widely used in recent years in many areas, such as object recognition, autonomous vehicle, recovery rate of symptoms and stock prediction. However, it is very difficult task to make a computer learn from experience as human can. Machine learning has been in the field of research for more than five decades since 1950s. It has become a challenging task to create the method that able to make machines can learn faster. Master of Science (Computer Control and Automation) 2013-05-30T08:19:11Z 2013-05-30T08:19:11Z 2011 2011 Thesis http://hdl.handle.net/10356/53214 en 68 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Sirote Saetang.
Investigation of the sequential accelerator on the perceptron for pattern recognition
description Machine Learning methods have been widely used in recent years in many areas, such as object recognition, autonomous vehicle, recovery rate of symptoms and stock prediction. However, it is very difficult task to make a computer learn from experience as human can. Machine learning has been in the field of research for more than five decades since 1950s. It has become a challenging task to create the method that able to make machines can learn faster.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Sirote Saetang.
format Theses and Dissertations
author Sirote Saetang.
author_sort Sirote Saetang.
title Investigation of the sequential accelerator on the perceptron for pattern recognition
title_short Investigation of the sequential accelerator on the perceptron for pattern recognition
title_full Investigation of the sequential accelerator on the perceptron for pattern recognition
title_fullStr Investigation of the sequential accelerator on the perceptron for pattern recognition
title_full_unstemmed Investigation of the sequential accelerator on the perceptron for pattern recognition
title_sort investigation of the sequential accelerator on the perceptron for pattern recognition
publishDate 2013
url http://hdl.handle.net/10356/53214
_version_ 1772828855853121536

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