Research Article
Digit Recognition System by using Back Propagation Algorithm
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 83 - Issue 8 |
| Published: December 2013 |
| Authors: V. Kapoor, Priyanka Gupta |
10.5120/14471-2762
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V. Kapoor, Priyanka Gupta . Digit Recognition System by using Back Propagation Algorithm. International Journal of Computer Applications. 83, 8 (December 2013), 33-36. DOI=10.5120/14471-2762
@article{ 10.5120/14471-2762,
author = { V. Kapoor,Priyanka Gupta },
title = { Digit Recognition System by using Back Propagation Algorithm },
journal = { International Journal of Computer Applications },
year = { 2013 },
volume = { 83 },
number = { 8 },
pages = { 33-36 },
doi = { 10.5120/14471-2762 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2013
%A V. Kapoor
%A Priyanka Gupta
%T Digit Recognition System by using Back Propagation Algorithm%T
%J International Journal of Computer Applications
%V 83
%N 8
%P 33-36
%R 10.5120/14471-2762
%I Foundation of Computer Science (FCS), NY, USA
Abstract
An artificial neural network is configured for a specific application, such as pattern recognition or data classification, through a learning process. Just like biological systems involves adjustments to the synaptic connections that exist between the neurons, artificial neural network also works on the same principle. The work described in this research does not have the intention to compete with existing systems, but merely served to illustrate to the general public how an artificial neural network can be used to recognize handwritten digits.
References
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