Comparison of Artificial Intelligence and Experimental Results in Performance of Machines-Reference-Cited by-同舟云学术

Comparison of Artificial Intelligence and Experimental Results in Performance of Machines

Published:2022-04-28 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
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Author:

Sharma Ashish¹,Gupta Anupma¹,Khushoo Minakshi¹,Garg Rinku²

Affiliation:

1. Electrical Engineering Department,Chandigarh University,Mohali,India

2. Chandigarh University,Department of Computer Application,Mohali,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9823381/9823413/09823873.pdf?arnumber=9823873

Reference21 articles.

1. Application of Artificial Neural Network for Analysis of Self-Excited Induction Generator;singh khela;JCS&T,0

2. ANN Model for Estimation of Capacitance Requirement to Maintain Constant Air-Gap Voltage of Self-Excited Induction Generator with Variable Load;sandhu;IJCST,2011

3. Design of Excitation Capacitance for Self-Excited Induction Generator;devabhaktuni;International Journal of Computer Science & Communication Networks,0

4. Capacitors Required for Maximum Power of a Self-Excited Single-Phase Induction Generator Using a Three-Phase Machine

5. A Novel MATLAB Graphical User Interface Based Methodology for Analysis, Design and Capacitor Estimation of Self Excited Induction Generators

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