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Published in:

Volume 5 Issue 1
January-2018
eISSN: 2349-5162

Unique Identifier

JETIR1801207

Page Number

1092-1095

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Title

SUPERVISED INSTANCE SELECTION FOR CLASSIFICATION ACCURACY WITH ARTIFICIAL NEURAL NETWORKS

ISSN

2349-5162

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"SUPERVISED INSTANCE SELECTION FOR CLASSIFICATION ACCURACY WITH ARTIFICIAL NEURAL NETWORKS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 1, page no.1092-1095, January-2018, Available :http://www.jetir.org/papers/JETIR1801207.pdf

Abstract

A neural network model which is the part of man-made reasoning is for the most part alluded to as artificial neural networks (ANNs). ANN shows the system to execute task, rather than programming computational system to do distinct assignments. To perform such errands, Artificial Intelligence Network (AI) is produced. It is an even minded model which can rapidly and decisively discover the examples covered in information that duplicate valuable learning. One instance of these AI models is neural networks. Man-made intelligence systems ought to find from information consistently. In the zones of medicinal determination associations with divergent information, the most accessible procedures are the Artificial Intelligence networks.

Key Words

Neural Network, man-made consciousness system

Cite This Article

"SUPERVISED INSTANCE SELECTION FOR CLASSIFICATION ACCURACY WITH ARTIFICIAL NEURAL NETWORKS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 1, page no. pp1092-1095, January-2018, Available at : http://www.jetir.org/papers/JETIR1801207.pdf

Publication Details

Published Paper ID: JETIR1801207
Registration ID: 225138
Published In: Volume 5 | Issue 1 | Year January-2018
DOI (Digital Object Identifier):
Page No: 1092-1095
ISSN Number: 2349-5162

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Cite This Article

"SUPERVISED INSTANCE SELECTION FOR CLASSIFICATION ACCURACY WITH ARTIFICIAL NEURAL NETWORKS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 1, page no. pp1092-1095, January-2018, Available at : http://www.jetir.org/papers/JETIR1801207.pdf




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