Optimization of DC-DC Converters for Off-Grid Lighting in Trains Using Artificial Neural Networks
作者： Monu Malik , Ratna Dahiya
DOI: 10.1007/978-981-13-8618-3_36
关键词:
摘要: 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 are user-friendly give optimum results less time minimum errors.
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