A virtual imprint of the artificial neural networks

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Trends in Computer Science and Information Technology volume6-issue1 articles
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Submitted: March 6, 2021
Published: Mar 22, 2021
DOI: 10.17352/tcsit.000033

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Gaurav Kumar*
Department of Mechanical Engineering, School of Engineering, Cochin University of Science and Technology, Kerala, India

Abstract

Artificial neural systems ordinarily alluded because the neural systems are the information or signal process scientific demonstrate that is supported the natural nerve cell. A neural network is also complicated structure that comprise a bunch of interconnected neurons which provides an extremely energizing choices for complex drawback understanding and different application which may play crucial half in today’s engineering science field therefore researchers from the various teach are designing the counterfeit neural systems to fathom the problems of pattern acknowledgment, forecast, improvement, related memory and management. During this paper I’ve bestowed the basic have faith in of the counterfeit neural organize, its characteristics and its applications.

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Article Details

Kumar, G. (2021). A virtual imprint of the artificial neural networks. Trends in Computer Science and Information Technology, 6(1), 017–01. https://doi.org/10.17352/tcsit.000033
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Haykin S (1999) Neural Networks A Comprehensive Foundation. 2d edition, Pearson Education. Link: http://bit.ly/2PjxtJi

Sonali Ms. Maind B (2014) analysis Paper on Basic of Artificial Neural Network. International Journal on Recent and Innovation Trends in Computing and Communication Volume: two Issue: one. Gregorian calendar month.

Vidushi (2012) International Journal of Advanced analysis in engineering science and code Engineering two 278-284.

Concerning Feed Back Network from web site. Link: http://bit.ly/392jCOp

Gopal S (1988) Artificial Neural Networks for abstraction information Analysis. Boston.

Li EY (1994) Artificial Neural Networks and their Business Applications. Taiwan. Information & Management 27: 303-313. Link: http://bit.ly/3tHryfJ

Stergiou C, Siganos D Neural Networks. Link: https://bit.ly/3tNly5n

Concerning Neural Network from web site. Link:

Jha GK Artificial Neural Network and its Applications. IARI New Delhi. Link: https://bit.ly/2OLK1sZ

Kumar G, Thampi BSG, Mondal PK (2020) Predicting Performance of Briquette Made from Millet Bran: A Neural Network Approach. Adv J Grad Res 9: 1-13. Link: https://bit.ly/3c9NzOg

Kumar G, Kumar RR (2020) A correlation study between meteorological parameters and COVID-19 pandemic in Mumbai, India. Diabetes & Metabolic Syndrome: Clinical Research & Reviews 14: 1735-1742. Link: http://bit.ly/311ht14