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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 5 | Month- May 2024
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Published Paper Details:
Paper Title
AN ELEMENTARY APPROACH OF ARTIFICIAL NEURAL NETWORK
Authors
Aashi Tyagi, Vinita Sharma
Keywords
Artificial Intelligence (AI), Artificial Neural Network (ANN), Activation Function (AF), information processing system, neurons, back-propagation algorithm, learning rules.
Abstract
In this paper, a brief review of Artificial Neural Network or ANN in the field of Artificial Intelligence is represented. As artificial neural structure is inspired from the biological neuron that is responsible for transformation of signals in human brain, is explained in this paper. ANN is the network models that make machines more intelligent to act more likely or equal to human beings. The most common choice of leading ANN is the decision-making quality. They are adaptive learning models that work on prior data sets. Biological neuron model plays a vital role in the working guidance of ANNs. The approach of these networks is heading more day by day.
IJCRT's Publication Details
Unique Identification Number - IJCRT2011224
Paper ID - 198417
Page Number(s) - 1829-1833
Pubished in - Volume 8 | Issue 11 | November 2020
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Aashi Tyagi, Vinita Sharma, "AN ELEMENTARY APPROACH OF ARTIFICIAL NEURAL NETWORK", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 11, pp.1829-1833, November 2020, Available at :http://www.ijcrt.org/papers/IJCRT2011224.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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