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Type: Artigo de evento
Title: Exploring The Nonlinear Dynamic Behavior Of Artificial Neural Networks
Author: Von Zuben Fernando J.
de Andrade Netto Marcio L.
Abstract: This work explores the universal approximation capability exhibited by artificial neural networks in the development of suitable architectures and associated training processes for nonlinear discrete-time dynamic system representation. The resulting architectures include recurrent and non recurrent multilayer neural networks and the derived training processes can be seen as optimization problems. Particular attention is given to the investigation of the dynamic behavior of a recurrent processing unit.
Editor: IEEE, Piscataway, NJ, United States
Rights: fechado
Identifier DOI: 
Date Issue: 1994
Appears in Collections:Unicamp - Artigos e Outros Documentos

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