Development of neural networks for noise reduction
Author
Source
The International Arab Journal of Information Technology
Issue
Vol. 7, Issue 3 (31 Jul. 2010), pp.289-294, 6 p.
Publisher
Publication Date
2010-07-31
Country of Publication
Jordan
No. of Pages
6
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
This paper describes the development of neural network models for noise reduction.
The networks used to enhance the performance of modeling captured signals by reducing the effect of noise.
Both recurrent and multi-layer Back propagation neural networks models are examined and compared with different training algorithms.
The paper presented is to illustrate the effect of training algorithms and network architecture on neural network performance for a given application.
American Psychological Association (APA)
Badri, Lubna. 2010. Development of neural networks for noise reduction. The International Arab Journal of Information Technology،Vol. 7, no. 3, pp.289-294.
https://search.emarefa.net/detail/BIM-109244
Modern Language Association (MLA)
Badri, Lubna. Development of neural networks for noise reduction. The International Arab Journal of Information Technology Vol. 7, no. 3 (Jul. 2010), pp.289-294.
https://search.emarefa.net/detail/BIM-109244
American Medical Association (AMA)
Badri, Lubna. Development of neural networks for noise reduction. The International Arab Journal of Information Technology. 2010. Vol. 7, no. 3, pp.289-294.
https://search.emarefa.net/detail/BIM-109244
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 293
Record ID
BIM-109244