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A Study on Artificial Neural Networks and it`s Applications

Aditya Mineni1 , A.V.L. Prasuna2

Section:Review Paper, Product Type: Journal Paper
Volume-7 , Issue-3 , Page no. 624-628, Mar-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i3.624628

Online published on Mar 31, 2019

Copyright © Aditya Mineni, A.V.L. Prasuna . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Aditya Mineni, A.V.L. Prasuna, “A Study on Artificial Neural Networks and it`s Applications,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.3, pp.624-628, 2019.

MLA Style Citation: Aditya Mineni, A.V.L. Prasuna "A Study on Artificial Neural Networks and it`s Applications." International Journal of Computer Sciences and Engineering 7.3 (2019): 624-628.

APA Style Citation: Aditya Mineni, A.V.L. Prasuna, (2019). A Study on Artificial Neural Networks and it`s Applications. International Journal of Computer Sciences and Engineering, 7(3), 624-628.

BibTex Style Citation:
@article{Mineni_2019,
author = {Aditya Mineni, A.V.L. Prasuna},
title = {A Study on Artificial Neural Networks and it`s Applications},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2019},
volume = {7},
Issue = {3},
month = {3},
year = {2019},
issn = {2347-2693},
pages = {624-628},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3891},
doi = {https://doi.org/10.26438/ijcse/v7i3.624628}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i3.624628}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3891
TI - A Study on Artificial Neural Networks and it`s Applications
T2 - International Journal of Computer Sciences and Engineering
AU - Aditya Mineni, A.V.L. Prasuna
PY - 2019
DA - 2019/03/31
PB - IJCSE, Indore, INDIA
SP - 624-628
IS - 3
VL - 7
SN - 2347-2693
ER -

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Abstract

An Artificial Neural Network (ANN) is a data handling worldview that is propelled by the way organic sensory systems, for example, the mind, process data. The key component of this worldview is the novel structure of the data handling framework. It is made out of countless interconnected preparing components (neurons) working as one to take care of explicit issues. ANNs, similar to individuals, learn by precedent. An ANN is arranged for an explicit application, for example, design acknowledgment or information grouping, through a learning procedure. Learning in organic frameworks includes acclimations to the synaptic associations that exist between the neurons. This is valid for ANNs also. This paper gives review of Artificial Neural Network, working and preparing of ANN. It additionally clarify the application and favorable circumstances of ANN.

Key-Words / Index Term

ANN(Artificial Neural Network), Neurons, design acknowledgment

References

[1] Bradshaw, J.A., Carden, K.J., Riordan, D., 1991. Natural ―Applications Using a Novel Expert System Shell‖. Comp. Appl. Biosci. 7, 79– 83.
[2] Lippmann, R.P., 1987. A prologue to processing with neural nets. IEEE Accost. Discourse Signal Process. Mag., April: 4-22.
[3] N. Murata, S. Yoshizawa, and S. Amari, Learning bends, show determination and multifaceted nature of neural networks,‖ in Advances in Neural Information Processing Systems 5, S. Jose Hanson, J. D. Cowan, and C. Lee Giles, ed. San Mateo, CA: Morgan Kaufmann, 1993, pp. 607-614