Neural adaptive prediction
The main objective if this project is to demonstrate the effectiveness of the proposed approach for the n-step ahead prediction using neural networks, which are trained using real plant data.
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2008
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Online Access: | http://hdl.handle.net/10356/3174 |
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sg-ntu-dr.10356-31742023-07-04T15:10:16Z Neural adaptive prediction Ramaswamy Ashok Tenkasi Song, Qing School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering The main objective if this project is to demonstrate the effectiveness of the proposed approach for the n-step ahead prediction using neural networks, which are trained using real plant data. Master of Science (Computer Control and Automation) 2008-09-17T09:23:58Z 2008-09-17T09:23:58Z 2002 2002 Thesis http://hdl.handle.net/10356/3174 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering Ramaswamy Ashok Tenkasi Neural adaptive prediction |
description |
The main objective if this project is to demonstrate the effectiveness of the proposed approach for the n-step ahead prediction using neural networks, which are trained using real plant data. |
author2 |
Song, Qing |
author_facet |
Song, Qing Ramaswamy Ashok Tenkasi |
format |
Theses and Dissertations |
author |
Ramaswamy Ashok Tenkasi |
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Ramaswamy Ashok Tenkasi |
title |
Neural adaptive prediction |
title_short |
Neural adaptive prediction |
title_full |
Neural adaptive prediction |
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Neural adaptive prediction |
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Neural adaptive prediction |
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neural adaptive prediction |
publishDate |
2008 |
url |
http://hdl.handle.net/10356/3174 |
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1772828850089099264 |