Robust training algorithm of neural network and support vector machine for pattern recognition and control

Robust training algorithm of neural network and support vector machine for pattern recognition and control

Traditional neural network approaches have suffered from difficulties with gener-alization ability and the over- fitting problem always plagues artificial lintelligence researchers.The support vector machines (SVMs)is a new and very promising classification technique developed by Vapnik and his rese...

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Main Author: Hu, Wenjie.
Other Authors: Song, Qing
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
Online Access:http://hdl.handle.net/10356/4416
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-4416
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spelling sg-ntu-dr.10356-44162023-07-04T15:16:10Z Robust training algorithm of neural network and support vector machine for pattern recognition and control Hu, Wenjie. Song, Qing School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation Traditional neural network approaches have suffered from difficulties with gener-alization ability and the over- fitting problem always plagues artificial lintelligence researchers.The support vector machines (SVMs)is a new and very promising classification technique developed by Vapnik and his research group. Doctor of Philosophy (EEE) 2008-09-17T09:51:04Z 2008-09-17T09:51:04Z 2003 2003 Thesis http://hdl.handle.net/10356/4416 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::Control and instrumentation
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
Hu, Wenjie.
Robust training algorithm of neural network and support vector machine for pattern recognition and control
description Traditional neural network approaches have suffered from difficulties with gener-alization ability and the over- fitting problem always plagues artificial lintelligence researchers.The support vector machines (SVMs)is a new and very promising classification technique developed by Vapnik and his research group.
author2 Song, Qing
author_facet Song, Qing
Hu, Wenjie.
format Theses and Dissertations
author Hu, Wenjie.
author_sort Hu, Wenjie.
title Robust training algorithm of neural network and support vector machine for pattern recognition and control
title_short Robust training algorithm of neural network and support vector machine for pattern recognition and control
title_full Robust training algorithm of neural network and support vector machine for pattern recognition and control
title_fullStr Robust training algorithm of neural network and support vector machine for pattern recognition and control
title_full_unstemmed Robust training algorithm of neural network and support vector machine for pattern recognition and control
title_sort robust training algorithm of neural network and support vector machine for pattern recognition and control
publishDate 2008
url http://hdl.handle.net/10356/4416
_version_ 1772828634542768128

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