UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 7
July-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1807285


Registration ID:
184914

Page Number

253-255

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Title

APPLICATION OF ARTIFICIAL NEURAL NETWORK IN BIOTECHNOLOGY

Authors

Abstract

Artificial Neural Network was designed to mimic the animal brain network, it is a computational algorithm network which are provided with predefined input to perform a certain task.in the resemblance to the neurons of human brain, ANN is consist of collection of artificial neurons. ANN was designed with a goal to approach and handle any task and situation in a manner similar to human brain. Biotechnology is application of technology in performing biological experiments.in this review paper, it is discussed how Ann can help in designing biological experiments.

Key Words

APPLICATION OF ARTIFICIAL NEURAL NETWORK IN BIOTECHNOLOGY

Cite This Article

"APPLICATION OF ARTIFICIAL NEURAL NETWORK IN BIOTECHNOLOGY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.253-255, July-2018, Available :http://www.jetir.org/papers/JETIR1807285.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"APPLICATION OF ARTIFICIAL NEURAL NETWORK IN BIOTECHNOLOGY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp253-255, July-2018, Available at : http://www.jetir.org/papers/JETIR1807285.pdf

Publication Details

Published Paper ID: JETIR1807285
Registration ID: 184914
Published In: Volume 5 | Issue 7 | Year July-2018
DOI (Digital Object Identifier):
Page No: 253-255
Country: --, -, -- .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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