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A Comparative Study of Training Algorithms of Artificial Neural Network using MATLAB

Published on June 2016 by Saumya Verma, Vaishnavi Gupta, Devraj Kamboj
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Technical Symposium on Emerging Technologies in Computer Science
Foundation of Computer Science USA
TSETCS2016 - Number 2
June 2016
Authors: Saumya Verma, Vaishnavi Gupta, Devraj Kamboj
7406d988-94ad-49cb-819e-d10d58f57fd1

Saumya Verma, Vaishnavi Gupta, Devraj Kamboj . A Comparative Study of Training Algorithms of Artificial Neural Network using MATLAB. Technical Symposium on Emerging Technologies in Computer Science. TSETCS2016, 2 (June 2016), 13-19.

@article{
author = { Saumya Verma, Vaishnavi Gupta, Devraj Kamboj },
title = { A Comparative Study of Training Algorithms of Artificial Neural Network using MATLAB },
journal = { Technical Symposium on Emerging Technologies in Computer Science },
issue_date = { June 2016 },
volume = { TSETCS2016 },
number = { 2 },
month = { June },
year = { 2016 },
issn = 0975-8887,
pages = { 13-19 },
numpages = 7,
url = { /proceedings/tsetcs2016/number2/25036-2026/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Technical Symposium on Emerging Technologies in Computer Science
%A Saumya Verma
%A Vaishnavi Gupta
%A Devraj Kamboj
%T A Comparative Study of Training Algorithms of Artificial Neural Network using MATLAB
%J Technical Symposium on Emerging Technologies in Computer Science
%@ 0975-8887
%V TSETCS2016
%N 2
%P 13-19
%D 2016
%I International Journal of Computer Applications
Abstract

Neural networks are simplified models of the biological neuron system. A neural network is a massively parallel distributed system made up of highly interconnected neural computing elements that have the ability to learn and thereby acquire knowledge and make it available for use. ANN's, like people, learn by example. This paper gives overview of artificial neural networks, their working, architecture, learning methods, how one can create and train their own neural network using MATLAB, and their applications.

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Index Terms

Computer Science
Information Sciences

Keywords

Ann Matlab Activation Function Training Function