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:
Online Access:http://hdl.handle.net/10356/2783
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Institution: Nanyang Technological University
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