Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

A Novel Variable Step Size LMS Algorithm Based On Neural Network

Authors
Anyang Zhang1, Ningsheng Gong
1College of Information Science and Engineering, Nanjing University of Technology
Corresponding Author
Anyang Zhang
Available Online October 2007.
DOI
https://doi.org/10.2991/iske.2007.76How to use a DOI?
Keywords
adapt filtering, variable step size LMS algorithm, BP neural network, prior knowledge
Abstract

This paper presents a new variable step size LMS algorithm based on neural network (BP-LMS). A non-linear relationship amongst the input vectors, deviation errors and the learning steps is constructed by BP model, which is employed to determine the learning steps during adaptive processing. The proposed algorithm also takes the prior knowledge into the LMS algorithm. Simulation experiments suggest that BP-LMS algorithm is capable of decreasing the time of convergent progress rapidly and satisfactory performance is attainable even with the presence of high level of noise.

Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
978-90-78677-04-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/iske.2007.76How to use a DOI?
Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Anyang Zhang
AU  - Ningsheng Gong
PY  - 2007/10
DA  - 2007/10
TI  - A Novel Variable Step Size LMS Algorithm Based On Neural Network
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 454
EP  - 458
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.76
DO  - https://doi.org/10.2991/iske.2007.76
ID  - Zhang2007/10
ER  -