Robust training algorithm of neural network for pattern recognition and control

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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Institution: Nanyang Technological University
Description
Summary: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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