Robust training algorithm of neural network for pattern recognition and control

This report focuses on the neural networks and their application in the fault monitoring. A neural network based fault monitoring system is presented for a classs of discrete-time nonlinear systems. The neural network plays an important role of function approximator in the fault monitoring system.

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Bibliographic Details
Main Authors:	Song, Qing., Chin, Teck Chai.
Other Authors:	School of Electrical and Electronic Engineering
Format:	Research Report
Published:	2008
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:	http://hdl.handle.net/10356/2783
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id	sg-ntu-dr.10356-2783
record_format	dspace
spelling	sg-ntu-dr.10356-27832023-03-04T03:22:23Z Robust training algorithm of neural network for pattern recognition and control Song, Qing. Chin, Teck Chai. School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems This report focuses on the neural networks and their application in the fault monitoring. A neural network based fault monitoring system is presented for a classs of discrete-time nonlinear systems. The neural network plays an important role of function approximator in the fault monitoring system. RG 50/96 2008-09-17T09:14:39Z 2008-09-17T09:14:39Z 2001 2001 Research Report http://hdl.handle.net/10356/2783 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 Song, Qing. Chin, Teck Chai. Robust training algorithm of neural network for pattern recognition and control
description	This report focuses on the neural networks and their application in the fault monitoring. A neural network based fault monitoring system is presented for a classs of discrete-time nonlinear systems. The neural network plays an important role of function approximator in the fault monitoring system.
author2	School of Electrical and Electronic Engineering
author_facet	School of Electrical and Electronic Engineering Song, Qing. Chin, Teck Chai.
format	Research Report
author	Song, Qing. Chin, Teck Chai.
author_sort	Song, Qing.
title	Robust training algorithm of neural network for pattern recognition and control
title_short	Robust training algorithm of neural network for pattern recognition and control
title_full	Robust training algorithm of neural network for pattern recognition and control
title_fullStr	Robust training algorithm of neural network for pattern recognition and control
title_full_unstemmed	Robust training algorithm of neural network for pattern recognition and control
title_sort	robust training algorithm of neural network for pattern recognition and control
publishDate	2008
url	http://hdl.handle.net/10356/2783
_version_	1759855691758043136

Robust training algorithm of neural network for pattern recognition and control

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