Modeling of Direction-Dependent Processes Using Wiener Models and Neural Networks With Nonlinear Output Error Structure

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Modeling of Direction-Dependent Processes Using Wiener Models and Neural Networks With Nonlinear Output Error Structure

The modeling of direction-dependent dynamic processes using Wiener models and recurrent neural network models with nonlinear output error structure is considered. The results obtained are compared for several simulated first-order and second-order processes and using three different types of input s...

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Bibliographic Details
Main Authors:	Tan, A.H., Godfrey, K.
Format:	Article
Language:	English
Published:	2004
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://shdl.mmu.edu.my/2472/ http://shdl.mmu.edu.my/2472/1/1736.pdf

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