Utility of MATLAB and usage of backpropogation in Artificial neural network

( An International Open Access , Peer-reviewed, Refereed Journal )

IJIRTEXPLORE- Search Thousands of research papers

ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

Utility of MATLAB and usage of backpropogation in Artificial neural network
Author(s):
Amrita Ticku, Deepika yadav
Keywords:

Abstract
The artificial neural network back propagation algorithm is implemented in Matlab Language. This implementation is compared with several other software packages. The effect of reducing the number of iterations in the performance of the algorithm is studied. The speed of the back propagation program, backprop, written in Matlab language is compared with the speed of several other back propagation programs which are written in the C language. The speed of the Matlab program backprop is, also compared with the C program quickprop which is a variant of the back propagation algorithm. It is shown that the Matlab program backprop is about 4.5 to 7 times faster than the C programs.
Article Details
Unique Paper ID: 149739 Publication Volume & Issue: Volume 7, Issue 1 Page(s): 615 - 621
Article Preview & Download

Share This Article

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org