Identification of the non-linear systems using internal recurrent neural networks

Identification of the non-linear systems using internal recurrent neural networks

In the past years utilization of neural networks took a distinct ampleness because of the following properties: distributed representation of information, capacity of generalization in case of uncontained situation in training data set, tolerance to noise, resistance to partial destruction, parallel...

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Bibliographic Details
Main Authors: Bogdan CODRES, Gheorghe PUSCASU, Alexandru STANCU
Format: Article
Language:English
Published: Universitatea Dunarea de Jos 2006-12-01
Series:Analele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică
Subjects:
Identification
recurrent neural networks
training
Online Access:http://www.ann.ugal.ro/eeai/archives/2006/Lucrare-13-Puscasu.pdf

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