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...
Saved in:
Main Authors: | , , |
---|---|
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 |