On Neural-Net Based Variable Structure Multiple Model Method: Neural-Net Design

On Neural-Net Based Variable Structure Multiple Model Method: Neural-Net Design

In order to track a maneuvering target, multiple model (MM) methods have been researched. Almost MM algorithms have been developed based on Markov process. However, Markov based MM method is difficult to design and application-dependent. To solve this problem, Daebum Choi, et al proposed basic idea...

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Bibliographic Details
Main Authors: Daebum Choi, Monica Samal, Byungha Ahn
Format: Article
Language:English
Published: International Institute of Informatics and Cybernetics 2003-08-01
Series:Journal of Systemics, Cybernetics and Informatics
Subjects:
Neural Net
Single Maneuvering Target Tracking
VSMM
Markov-Based MM
Online Access:http://www.iiisci.org/Journal/CV$/sci/pdfs/002774.pdf
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spelling doaj-ab51ec604fd84ac2b7171ebb222714ba2020-11-24T22:34:31ZengInternational Institute of Informatics and CyberneticsJournal of Systemics, Cybernetics and Informatics1690-45242003-08-01143237On Neural-Net Based Variable Structure Multiple Model Method: Neural-Net DesignDaebum Choi0Monica Samal1Byungha Ahn2 System Integration Lab. Dept. of Mechatronics, Kwang-ju Institute of Science and Technology System Integration Lab. Dept. of Mechatronics, Kwang-ju Institute of Science and Technology System Integration Lab. Dept. of Mechatronics, Kwang-ju Institute of Science and Technology In order to track a maneuvering target, multiple model (MM) methods have been researched. Almost MM algorithms have been developed based on Markov process. However, Markov based MM method is difficult to design and application-dependent. To solve this problem, Daebum Choi, et al proposed basic idea of neural-net based VSMM [5]. In this paper, we will show the design procedure of neural-net based MM and discuss how does it work in details.http://www.iiisci.org/Journal/CV$/sci/pdfs/002774.pdf Neural NetSingle Maneuvering Target TrackingVSMMMarkov-Based MM
collection DOAJ
language English
format Article
sources DOAJ
author Daebum Choi
Monica Samal
Byungha Ahn
spellingShingle Daebum Choi
Monica Samal
Byungha Ahn
On Neural-Net Based Variable Structure Multiple Model Method: Neural-Net Design
Journal of Systemics, Cybernetics and Informatics
Neural Net
Single Maneuvering Target Tracking
VSMM
Markov-Based MM
author_facet Daebum Choi
Monica Samal
Byungha Ahn
author_sort Daebum Choi
title On Neural-Net Based Variable Structure Multiple Model Method: Neural-Net Design
title_short On Neural-Net Based Variable Structure Multiple Model Method: Neural-Net Design
title_full On Neural-Net Based Variable Structure Multiple Model Method: Neural-Net Design
title_fullStr On Neural-Net Based Variable Structure Multiple Model Method: Neural-Net Design
title_full_unstemmed On Neural-Net Based Variable Structure Multiple Model Method: Neural-Net Design
title_sort on neural-net based variable structure multiple model method: neural-net design
publisher International Institute of Informatics and Cybernetics
series Journal of Systemics, Cybernetics and Informatics
issn 1690-4524
publishDate 2003-08-01
description In order to track a maneuvering target, multiple model (MM) methods have been researched. Almost MM algorithms have been developed based on Markov process. However, Markov based MM method is difficult to design and application-dependent. To solve this problem, Daebum Choi, et al proposed basic idea of neural-net based VSMM [5]. In this paper, we will show the design procedure of neural-net based MM and discuss how does it work in details.
topic Neural Net
Single Maneuvering Target Tracking
VSMM
Markov-Based MM
url http://www.iiisci.org/Journal/CV$/sci/pdfs/002774.pdf
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AT monicasamal onneuralnetbasedvariablestructuremultiplemodelmethodneuralnetdesign
AT byunghaahn onneuralnetbasedvariablestructuremultiplemodelmethodneuralnetdesign
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