N-step prediction using box-Jenkins methodology

N-step prediction using box-Jenkins methodology

For modeling nonlinear systems, Artificial Neural Network (ANN) offers a promising alternative compared to the more conventional methods such as the Volterra series method and the Hammerstein model. ANN models are widely used in performing time series prediction. ANN models are trained and used as a...

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Main Author: Srinivasan Venkatachari.
Other Authors: Devanathan, R.
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Online Access:http://hdl.handle.net/10356/3284
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-3284
record_format dspace
spelling sg-ntu-dr.10356-32842023-07-04T15:46:23Z N-step prediction using box-Jenkins methodology Srinivasan Venkatachari. Devanathan, R. School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering For modeling nonlinear systems, Artificial Neural Network (ANN) offers a promising alternative compared to the more conventional methods such as the Volterra series method and the Hammerstein model. ANN models are widely used in performing time series prediction. ANN models are trained and used as a single-step ahead predictor in control application. Master of Science (Computer Control and Automation) 2008-09-17T09:26:26Z 2008-09-17T09:26:26Z 2002 2002 Thesis http://hdl.handle.net/10356/3284 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Srinivasan Venkatachari.
N-step prediction using box-Jenkins methodology
description For modeling nonlinear systems, Artificial Neural Network (ANN) offers a promising alternative compared to the more conventional methods such as the Volterra series method and the Hammerstein model. ANN models are widely used in performing time series prediction. ANN models are trained and used as a single-step ahead predictor in control application.
author2 Devanathan, R.
author_facet Devanathan, R.
Srinivasan Venkatachari.
format Theses and Dissertations
author Srinivasan Venkatachari.
author_sort Srinivasan Venkatachari.
title N-step prediction using box-Jenkins methodology
title_short N-step prediction using box-Jenkins methodology
title_full N-step prediction using box-Jenkins methodology
title_fullStr N-step prediction using box-Jenkins methodology
title_full_unstemmed N-step prediction using box-Jenkins methodology
title_sort n-step prediction using box-jenkins methodology
publishDate 2008
url http://hdl.handle.net/10356/3284
_version_ 1772825421367214080

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