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.

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Song, Qing., Chin, Teck Chai.
مؤلفون آخرون: School of Electrical and Electronic Engineering
التنسيق: Research Report
منشور في: 2008
الموضوعات:
الوصول للمادة أونلاين:http://hdl.handle.net/10356/2783
الوسوم: إضافة وسم
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المؤسسة: Nanyang Technological University
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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
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