Deep neural network approach to forward-inverse problems
Deep neural network approach to forward-inverse problems
<p style='text-indent:20px;'>In this paper, we construct approximated solutions of Differential Equations (DEs) using the Deep Neural Network (DNN). Furthermore, we present an architecture that includes the process of finding model parameters through experimental data, the inverse problem. That is, we provide a unified framework of DNN architecture that approximates an …