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...

Full description

Saved in:
Bibliographic Details
Main Authors: Aibinu, Abiodun Musa, Salami, Momoh Jimoh Emiyoka, Shafie, Amir Akramin
Format: Conference or Workshop Item
Language:English
Published: 2009
Subjects:
Online Access:http://irep.iium.edu.my/4926/1/CAR-USA.pdf
http://irep.iium.edu.my/4926/
http://bsi2009.org/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.iium.irep.4926
record_format dspace
spelling my.iium.irep.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 Conference or Workshop Item REM 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/
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Aibinu, Abiodun Musa
Salami, Momoh Jimoh Emiyoka
Shafie, Amir Akramin
Determination of autoregressive coefficients using Complex-Valued Neural Network
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.
format Conference or Workshop Item
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 Determination of autoregressive coefficients using Complex-Valued Neural Network
title_short 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_sort determination of autoregressive coefficients using complex-valued neural network
publishDate 2009
url http://irep.iium.edu.my/4926/1/CAR-USA.pdf
http://irep.iium.edu.my/4926/
http://bsi2009.org/
_version_ 1643605441967554560
score 13.18916