Development of Neural Networks for Noise Reduction

: 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.

• Type: Journal
• Year: 2010
• Where: IAJIT
• Authors: Lubna Badri
• Keywords: IAJIT 2010, Neural Network, Neural Network Models, Training Algorithms