Research Journal of Engineering and Technology

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2321-581X (Online)
0976-2973 (Print)


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Regression modeling and Neural Computing for predicting the Ultimate Tensile Strength of Friction Stir Welded aerospace Aluminium Alloy

Author(s): Akshansh Mishra, Jonathan Ve Vance, Anish Dasgupta, Saravanan M

DOI: 10.5958/2321-581X.2019.00028.X

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Cite: Akshansh Mishra, Jonathan Ve Vance, Anish Dasgupta, Saravanan M. Regression modeling and Neural Computing for predicting the Ultimate Tensile Strength of Friction Stir Welded aerospace Aluminium Alloy. Research J. Engineering and Tech. 2019;10(4):163-171. doi: 10.5958/2321-581X.2019.00028.X


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Research Journal of Engineering and Technology (RJET) is an international, peer-reviewed, research journal aiming at promoting and publishing original high quality research in all disciplines of engineering sciences and technology....... Read more >>>

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DOI: 10.5958/2321-581X 

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Research Journal of Engineering and Technology (RJET) is an international, peer-reviewed, research journal aiming at promoting and publishing original high quality research in all disciplines of engineering sciences and technology. Viz. Mechanical Engineering, Civil Engineering, Electrical Engineering, Electronics and Telecommunication Engineering, Computer Engineering, Chemical Engineering, Biotechnology, Information Technology, Architecture Engineering etc.

The journal is published every year in last week of March, June, September and December from Raipur.    
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