Deep learning models are represented in PyTorch as Dynamic Computation Graphs (DCGs). Unlike with pre-constructed static ...

A recurrent neural network trained with the backpropagation through time training algorithm is used to find a way of distinguishing between the so-called load harmonics and supply harmonics, without ...

Inverse problem mainly used to approximate physical parameters of material. Finite element method will be combined with artificial neural network using back propagation algorithm to solve differential ...