Process fault detection and diagnosis using a dynamic neural networks model

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Process fault detection and diagnosis using a dynamic neural networks model

Recently, neural networks has generated considerable interest as an alternative non-linear modelling tool. The major attraction is the learning capabilities of neural networks, and the fact that multi-layer, feed forward networks can approximate any non-linear function with arbitrary accuracy. This...

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Bibliographic Details
Main Authors:	Abdul Rahman, Ribhan Zafira, Che Soh, Azura, Ahmad, Erny Arniza, Mohd Noor, Samsul Bahari, Gomm, J. B.
Format:	Conference or Workshop Item
Language:	English
Published:	Universiti Putra Malaysia Press 2002
Online Access:	http://psasir.upm.edu.my/id/eprint/33839/ http://psasir.upm.edu.my/id/eprint/33839/1/33839.pdf

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