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Optimization of DC-DC Converters for Off-Grid Lighting in Trains Using Artificial Neural Networks

  • Monu MalikEmail author
  • Ratna Dahiya
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 989)

Abstract

The paper manifests the optimization of DC-DC converters for off-grid lighting in trains with Artificial Neural Networks using distinct soft computing techniques as Hopfield, recurrent networks, vector quantization, cascade forward and Elman backpropagation techniques. These techniques are user-friendly and give optimum results in less time with minimum errors.

Keywords

Optimization DC-DC converters Off-grid lighting Trains Artificial neural networks 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Electronics and Electrical EngineeringMaharaja Surajmal Institute of TechnologyNew DelhiIndia
  2. 2.Department of Electrical EngineeringNational Institute of TechnologyKurukshetraIndia

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