A novel signal diagnosis technique using pseudo complex-valued autoregressive technique

A novel signal diagnosis technique using pseudo complex-valued autoregressive technique

In this paper, a new method of biomedical signal classification using complex- valued pseudo autoregressive (CAR) modeling approach has been proposed. The CAR coefficients were computed from the synaptic weights and coefficients of a split weight and activation function of a feedforward multilayer...

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Main Authors: Aibinu, Abiodun Musa, Salami, Momoh Jimoh Emiyoka, Shafie, Amir Akramin
Format: Article
Language:English
Published: Elsevier 2011
Subjects:
TA165 Engineering instruments, meters, etc. Industrial instrumentation
Online Access:http://irep.iium.edu.my/1476/
http://irep.iium.edu.my/1476/
http://irep.iium.edu.my/1476/
http://irep.iium.edu.my/1476/1/ESWA.pdf
id iium-1476
recordtype eprints
spelling iium-14762011-10-03T06:59:55Z http://irep.iium.edu.my/1476/ A novel signal diagnosis technique using pseudo complex-valued autoregressive technique Aibinu, Abiodun Musa Salami, Momoh Jimoh Emiyoka Shafie, Amir Akramin TA165 Engineering instruments, meters, etc. Industrial instrumentation In this paper, a new method of biomedical signal classification using complex- valued pseudo autoregressive (CAR) modeling approach has been proposed. The CAR coefficients were computed from the synaptic weights and coefficients of a split weight and activation function of a feedforward multilayer complex valued neural network. The performance of the proposed technique has been evaluated using PIMA Indian diabetes dataset with different complex-valued data normalization techniques and four different values of learning rate. An accuracy value of 81.28% has been obtained using this proposed technique. Elsevier 2011 Article PeerReviewed application/pdf en http://irep.iium.edu.my/1476/1/ESWA.pdf Aibinu, Abiodun Musa and Salami, Momoh Jimoh Emiyoka and Shafie, Amir Akramin (2011) A novel signal diagnosis technique using pseudo complex-valued autoregressive technique. Expert Systems with Application, 38 (8). pp. 9063-9069. ISSN 0957-4174 http://www.elsevier.com/wps/find/journaldescription.cws_home/939/description#description 10.1016/j.eswa.2010.11.005
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TA165 Engineering instruments, meters, etc. Industrial instrumentation
spellingShingle TA165 Engineering instruments, meters, etc. Industrial instrumentation
Aibinu, Abiodun Musa
Salami, Momoh Jimoh Emiyoka
Shafie, Amir Akramin
A novel signal diagnosis technique using pseudo complex-valued autoregressive technique
description In this paper, a new method of biomedical signal classification using complex- valued pseudo autoregressive (CAR) modeling approach has been proposed. The CAR coefficients were computed from the synaptic weights and coefficients of a split weight and activation function of a feedforward multilayer complex valued neural network. The performance of the proposed technique has been evaluated using PIMA Indian diabetes dataset with different complex-valued data normalization techniques and four different values of learning rate. An accuracy value of 81.28% has been obtained using this proposed technique.
format Article
author Aibinu, Abiodun Musa
Salami, Momoh Jimoh Emiyoka
Shafie, Amir Akramin
author_facet Aibinu, Abiodun Musa
Salami, Momoh Jimoh Emiyoka
Shafie, Amir Akramin
author_sort Aibinu, Abiodun Musa
title A novel signal diagnosis technique using pseudo complex-valued autoregressive technique
title_short A novel signal diagnosis technique using pseudo complex-valued autoregressive technique
title_full A novel signal diagnosis technique using pseudo complex-valued autoregressive technique
title_fullStr A novel signal diagnosis technique using pseudo complex-valued autoregressive technique
title_full_unstemmed A novel signal diagnosis technique using pseudo complex-valued autoregressive technique
title_sort novel signal diagnosis technique using pseudo complex-valued autoregressive technique
publisher Elsevier
publishDate 2011
url http://irep.iium.edu.my/1476/
http://irep.iium.edu.my/1476/
http://irep.iium.edu.my/1476/
http://irep.iium.edu.my/1476/1/ESWA.pdf
first_indexed 2023-09-18T20:08:50Z
last_indexed 2023-09-18T20:08:50Z
_version_ 1777407340790677504

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