Determination of autoregressive coefficients using Complex-Valued Neural Network

This paper discusses a new approach for Complex Autoregressive(CAR) model parameter estimation using Complex-Valued Neural Network (CVNN) technique. The CAR coefficients are computed from the adaptive weights and linear coefficients of the multi layer CVNN. The performance of the proposed technique...

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Main Authors: Aibinu, Abiodun Musa, Salami, Momoh Jimoh Emiyoka, Shafie, Amir Akramin
Format: Proceeding Paper
Language:English
Published: 2009
Subjects:
Online Access:http://irep.iium.edu.my/4926/
http://irep.iium.edu.my/4926/1/CAR-USA.pdf
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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
building IIUM Repository
collection Online Access
description This paper discusses a new approach for Complex Autoregressive(CAR) model parameter estimation using Complex-Valued Neural Network (CVNN) technique. The CAR coefficients are computed from the adaptive weights and linear coefficients of the multi layer CVNN. The performance of the proposed technique has been evaluated using simulated Complex-Valued Data (CVD) with three different types of linear activation functions. The results show that the proposed method can accurately determine CAR coefficients for a properly trained CVNN.
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format Proceeding Paper
id iium-4926
institution International Islamic University Malaysia
institution_category Local University
language English
last_indexed 2025-11-14T14:29:44Z
publishDate 2009
recordtype eprints
repository_type Digital Repository
spelling iium-49262012-01-29T08:54:24Z http://irep.iium.edu.my/4926/ Determination of autoregressive coefficients using Complex-Valued Neural Network Aibinu, Abiodun Musa Salami, Momoh Jimoh Emiyoka Shafie, Amir Akramin T Technology (General) This paper discusses a new approach for Complex Autoregressive(CAR) model parameter estimation using Complex-Valued Neural Network (CVNN) technique. The CAR coefficients are computed from the adaptive weights and linear coefficients of the multi layer CVNN. The performance of the proposed technique has been evaluated using simulated Complex-Valued Data (CVD) with three different types of linear activation functions. The results show that the proposed method can accurately determine CAR coefficients for a properly trained CVNN. 2009-06-24 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/4926/1/CAR-USA.pdf Aibinu, Abiodun Musa and Salami, Momoh Jimoh Emiyoka and Shafie, Amir Akramin (2009) Determination of autoregressive coefficients using Complex-Valued Neural Network. In: The 6th International Workshop on Biosignal Interpretation (BSI), 24 - 26 Jun 2009, Yale University New Haven, CT, USA. http://bsi2009.org/
spellingShingle T Technology (General)
Aibinu, Abiodun Musa
Salami, Momoh Jimoh Emiyoka
Shafie, Amir Akramin
Determination of autoregressive coefficients using Complex-Valued Neural Network
title Determination of autoregressive coefficients using Complex-Valued Neural Network
title_full Determination of autoregressive coefficients using Complex-Valued Neural Network
title_fullStr Determination of autoregressive coefficients using Complex-Valued Neural Network
title_full_unstemmed Determination of autoregressive coefficients using Complex-Valued Neural Network
title_short Determination of autoregressive coefficients using Complex-Valued Neural Network
title_sort determination of autoregressive coefficients using complex-valued neural network
topic T Technology (General)
url http://irep.iium.edu.my/4926/
http://irep.iium.edu.my/4926/
http://irep.iium.edu.my/4926/1/CAR-USA.pdf