The week's pick
Reseach Article
Implementation of RSA with Feed-forward Neural Network using MATLAB
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 148 - Number 2 |
| Year of Publication: 2016 |
| Authors: Somesh Kumar, Rajkumar Goel |
10.5120/ijca2016911024
|
Somesh Kumar, Rajkumar Goel . Implementation of RSA with Feed-forward Neural Network using MATLAB. International Journal of Computer Applications. 148, 2 ( Aug 2016), 22-25. DOI=10.5120/ijca2016911024
Abstract
In this paper the RSA algorithm has been implemented with feed forward artificial neural network using MATLAB. This implementation is focused on the network parameters like topology, training algoritahm, no. of hidden layers, no. of neurons in each layer and learning rate in order to get the more efficient results. Many examples are tested and it is obtained that two hidden layers feed forward neural network architectures will lead to optimal solution. Our goal in this paper is to obtain the minimum training time and minimum number of training iterations using the proposed optimal solution.
References
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