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Author

Chandrashekhar Garde

Bio: Chandrashekhar Garde is an academic researcher. The author has co-authored 1 publications.

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Proceedings ArticleDOI
28 Aug 2022
TL;DR: A novel Distributed Neural Network (DiNN) approach for the design of Metamaterial which doesn’t require a high computational facility, with a faster training process and high accuracy with 95% of mean square error (MSE) below $4.6x10^{-4}$.
Abstract: We propose a novel Distributed Neural Network (DiNN) approach for the design of Metamaterial which doesn’t require a high computational facility, with a faster training process and high accuracy with 95% of mean square error (MSE) below $4.6x10^{-4}$.