An Improvement on Extended Kalman Filter for Neural Network Training

Information overload has resulted in difficulties of managing and processing information. Reduction of data using well-defined techniques such as rough set may provide a means to overcome this problem. Extracting useful imformation and knowledge from data is a major concern in information science....

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Main Author:	Tsan, Ken Yim
Format:	Thesis
Language:	English
Published:	2005
Subjects:	Systems Analysis/ Operations Research Neural networks (Computer science)
Online Access:	http://psasir.upm.edu.my/id/eprint/5851/1/FSKTM_2005_5%20IR.pdf
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id	my-upm-ir.5851
record_format	uketd_dc
spelling	my-upm-ir.58512022-01-06T03:03:12Z An Improvement on Extended Kalman Filter for Neural Network Training 2005-04 Tsan, Ken Yim Information overload has resulted in difficulties of managing and processing information. Reduction of data using well-defined techniques such as rough set may provide a means to overcome this problem. Extracting useful imformation and knowledge from data is a major concern in information science. Artificial intelligence systems, such as neural network systems, are widely used to extract and infer knowledge from databases. This study explored the training of a neural network inference system using the extended Kalman filter (EKF) learning algorithm. The inference accuracy, inference duration and training performance of this extended Kalman filter neural network were compared with the standard back-propagation algorithm and an improved version of the back-propagation neural network learning algorithm. It was discovered that the extended Kalman filter trained neural network required less Systems Analysis/ Operations Research Neural networks (Computer science) 2005-04 Thesis http://psasir.upm.edu.my/id/eprint/5851/ http://psasir.upm.edu.my/id/eprint/5851/1/FSKTM_2005_5%20IR.pdf text en public masters Universiti Putra Malaysia Systems Analysis/ Operations Research Neural networks (Computer science) Computer Science and Information Technology Sulaiman, Md Nasir
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
advisor	Sulaiman, Md Nasir
topic	Systems Analysis/ Operations Research Neural networks (Computer science)
spellingShingle	Systems Analysis/ Operations Research Neural networks (Computer science) Tsan, Ken Yim An Improvement on Extended Kalman Filter for Neural Network Training
description	Information overload has resulted in difficulties of managing and processing information. Reduction of data using well-defined techniques such as rough set may provide a means to overcome this problem. Extracting useful imformation and knowledge from data is a major concern in information science. Artificial intelligence systems, such as neural network systems, are widely used to extract and infer knowledge from databases. This study explored the training of a neural network inference system using the extended Kalman filter (EKF) learning algorithm. The inference accuracy, inference duration and training performance of this extended Kalman filter neural network were compared with the standard back-propagation algorithm and an improved version of the back-propagation neural network learning algorithm. It was discovered that the extended Kalman filter trained neural network required less
format	Thesis
qualification_level	Master's degree
author	Tsan, Ken Yim
author_facet	Tsan, Ken Yim
author_sort	Tsan, Ken Yim
title	An Improvement on Extended Kalman Filter for Neural Network Training
title_short	An Improvement on Extended Kalman Filter for Neural Network Training
title_full	An Improvement on Extended Kalman Filter for Neural Network Training
title_fullStr	An Improvement on Extended Kalman Filter for Neural Network Training
title_full_unstemmed	An Improvement on Extended Kalman Filter for Neural Network Training
title_sort	improvement on extended kalman filter for neural network training
granting_institution	Universiti Putra Malaysia
granting_department	Computer Science and Information Technology
publishDate	2005
url	http://psasir.upm.edu.my/id/eprint/5851/1/FSKTM_2005_5%20IR.pdf
_version_	1747810494505287680

An Improvement on Extended Kalman Filter for Neural Network Training

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