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ISSN Number:
2582-8568


Journal DOI No:
03.2021-11278686

Title:
A Study Guide on Artificial Neural Network For NET/SET Computer Science Aspirants

Authors:
Mr.Rajesh Yadav

Cite this Article:
Mr.Rajesh Yadav ,
A Study Guide on Artificial Neural Network For NET/SET Computer Science Aspirants,
International Research Journal of Humanities and Interdisciplinary Studies (www.irjhis.com), ISSN : 2582-8568, Volume: 2, Issue: 11, Year: November 2021, Page No : 01-10,
Available at : http://irjhis.com/paper/IRJHIS2111001.pdf

Abstract:

Artificial neural networks (ANNs) are computational networks that are biologically inspired. The paper will focus on components of ANN, topologies, various learning strategies, examples, elements, activation functions and its variants in simplified manner. The paper will also focus on perceptrons, its characteristics and its types.The paper covers the majority of important points useful for aspirants preparing for National Eligibility test and state level lecturership test. The main purpose to prepare this paper is to facilitate computer teachers , research scholars and aspirants preparing for competition with a simplified view on the concept of ANN which base a unit covering 6-10 marks in NET /SET exam.



Keywords:

NTA, NET-CSS , ANN ,Synapse, Perceptron, Neuron, Activation function.



Publication Details:
Published Paper ID: IRJHIS2111001
Registration ID: 20458
Published In: Volume: 2, Issue: 11, Year: November 2021
Page No: 01-10
ISSN Number: 2582-8568

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ISSN Number

ISSN 2582-8568

Impact Factor

5.71 (2021)

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03.2021-11278686