Metamaterial Design Using Distributed Neural Network (DiNN) Approach

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 $4.6x10^{-4}$.