期刊名称：The International Arab Journal of Information Technology
印刷版ISSN：1683-3198
出版年度：2010
卷号：7
期号：3
出版社：Zarqa Private University
摘要：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 Backpropagation 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.
